d803bfe2b1
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
2390 lines
67 KiB
Markdown
2390 lines
67 KiB
Markdown
# Swarm Implementation Plan: RuVector Attention Mechanisms
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## Executive Summary
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This document outlines a comprehensive swarm-based implementation strategy for the `ruvector-attention` crate, leveraging hierarchical agent coordination for parallel development across 11 attention mechanism categories with platform bindings and comprehensive testing.
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**Timeline**: 18 weeks
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**Team Size**: 22 concurrent agents (peak)
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**Estimated Deliverables**: 50+ attention variants, 4 platform bindings, 500+ tests
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---
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## 1. Swarm Architecture
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### 1.1 Hierarchical Topology
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```yaml
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swarm:
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name: "ruvector-attention-builder"
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topology: "hierarchical"
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coordination: "claude-flow + memory-based"
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queen:
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role: "hierarchical-coordinator"
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agent_id: "attention-queen-001"
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responsibilities:
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- Strategic planning and task decomposition
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- Cross-team dependency management
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- Progress monitoring and bottleneck detection
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- Quality assurance and integration coordination
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- Performance optimization oversight
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- Stakeholder communication
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tools:
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- mcp__claude-flow__swarm_init
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- mcp__claude-flow__task_orchestrate
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- mcp__claude-flow__swarm_monitor
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- mcp__claude-flow__bottleneck_analyze
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- mcp__claude-flow__performance_report
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coordination_protocol:
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check_in_frequency: "every 4 hours"
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status_aggregation: "real-time via memory"
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escalation_threshold: "20% delay on critical path"
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workers:
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- team: "core-attention-team"
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size: 3
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agent_types: ["coder", "coder", "tester"]
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capabilities:
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- Rust implementation
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- Trait design
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- Unit testing
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tasks:
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- Scaled dot-product attention
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- Multi-head attention
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- Base traits and interfaces
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- Attention masks
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estimated_duration: "2 weeks"
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dependencies: []
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- team: "geometric-team"
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size: 2
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agent_types: ["ml-developer", "coder"]
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capabilities:
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- Non-Euclidean geometry
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- Mathematical optimization
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- Numerical stability
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tasks:
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- Hyperbolic attention (Poincaré, Lorentz)
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- Spherical attention
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- Mixed curvature attention
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- Product space attention
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estimated_duration: "3 weeks"
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dependencies: ["core-attention-team"]
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- team: "sparse-team"
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size: 3
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agent_types: ["coder", "performance-benchmarker", "tester"]
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capabilities:
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- Memory optimization
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- CUDA/parallel processing
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- Performance profiling
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tasks:
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- Local+Global attention
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- Linear attention (Performer)
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- Flash attention
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- Block-sparse attention
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estimated_duration: "4 weeks"
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dependencies: ["core-attention-team"]
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- team: "graph-team"
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size: 3
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agent_types: ["ml-developer", "coder", "tester"]
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capabilities:
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- Graph neural networks
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- Topology-aware processing
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- Edge feature encoding
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tasks:
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- Edge-featured attention
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- RoPE for graphs
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- Cross-space attention
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- Heterogeneous graph attention
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estimated_duration: "3 weeks"
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dependencies: ["core-attention-team", "geometric-team"]
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- team: "adaptive-team"
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size: 2
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agent_types: ["ml-developer", "coder"]
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capabilities:
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- Reinforcement learning
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- Meta-learning
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- Dynamic routing
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tasks:
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- Mixture-of-Experts attention
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- RL-based latent navigation
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- Adaptive parameter sharing
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estimated_duration: "4 weeks"
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dependencies: ["core-attention-team"]
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- team: "training-team"
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size: 2
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agent_types: ["ml-developer", "coder"]
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capabilities:
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- Loss function design
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- Optimization algorithms
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- Training utilities
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tasks:
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- Triplet loss variants
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- Contrastive losses
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- Custom optimizers
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- Regularization techniques
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estimated_duration: "2 weeks"
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dependencies: ["core-attention-team"]
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- team: "platform-team"
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size: 4
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agent_types: ["coder", "coder", "backend-dev", "tester"]
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capabilities:
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- WASM compilation
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- Node.js bindings (NAPI-RS)
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- CLI development
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- Cross-platform testing
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tasks:
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- WASM bindings and optimization
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- NAPI-RS bindings (Node 18, 20, 22)
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- CLI interface and commands
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- SDK and examples
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estimated_duration: "4 weeks"
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dependencies: ["core-attention-team", "geometric-team", "sparse-team"]
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- team: "quality-team"
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size: 3
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agent_types: ["tester", "tester", "reviewer"]
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capabilities:
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- Test-driven development
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- Integration testing
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- Performance benchmarking
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- Code review
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tasks:
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- Unit test suite (90% coverage)
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- Integration tests
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- Benchmark suite
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- Documentation review
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estimated_duration: "ongoing (all phases)"
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dependencies: ["all teams"]
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total_agents: 22
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peak_concurrency: 15
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coordination_overhead: "~10% of total effort"
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```
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### 1.2 Communication Matrix
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```yaml
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communication_patterns:
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synchronous:
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- Daily standup (async via memory)
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- Code review sessions
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- Integration checkpoints
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asynchronous:
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- Memory-based state sharing
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- Hook-driven notifications
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- Progress updates
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escalation_paths:
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level_1: "Team lead handles within team"
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level_2: "Queen coordinator resolves cross-team"
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level_3: "Architecture review board"
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shared_artifacts:
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- "attention/traits/base.rs" (all teams)
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- "attention/utils/math.rs" (geometric, sparse)
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- "bindings/api_schema.json" (platform team)
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- "benchmarks/suite.rs" (quality team)
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```
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---
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## 2. Phase-by-Phase Execution
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### Phase 1: Foundation (Week 1-2)
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**Objective**: Establish project structure, CI/CD, and core traits
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```yaml
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phase_1:
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duration: "2 weeks"
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agents_involved: 5
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initialization:
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swarm_command: |
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npx claude-flow sparc batch "spec-pseudocode,architect" "ruvector-attention foundation"
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parallel_agents:
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- agent: "specification-writer"
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type: "researcher"
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task: "Write comprehensive specification for all attention mechanisms"
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deliverables:
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- "docs/specs/attention-mechanisms.md"
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- "docs/specs/api-design.md"
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hooks:
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- "pre-task: Load existing research docs"
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- "post-task: Store spec in memory at 'attention/specs/v1'"
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- agent: "trait-architect"
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type: "system-architect"
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task: "Design core traits and interfaces for attention mechanisms"
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deliverables:
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- "src/traits/attention.rs"
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- "src/traits/geometric.rs"
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- "src/traits/adaptive.rs"
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dependencies:
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- "specification-writer (50% complete)"
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- agent: "project-scaffolder"
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type: "backend-dev"
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task: "Create project structure, Cargo.toml, module organization"
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deliverables:
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- "Cargo.toml"
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- "src/lib.rs"
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- "src/core/mod.rs"
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- "src/geometric/mod.rs"
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- "src/sparse/mod.rs"
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- "src/graph/mod.rs"
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- "src/adaptive/mod.rs"
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- "src/training/mod.rs"
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- agent: "ci-engineer"
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type: "cicd-engineer"
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task: "Set up CI/CD pipelines for Rust, WASM, NAPI-RS"
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deliverables:
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- ".github/workflows/rust.yml"
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- ".github/workflows/wasm.yml"
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- ".github/workflows/napi.yml"
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- ".github/workflows/benchmarks.yml"
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- agent: "docs-initializer"
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type: "coder"
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task: "Create initial documentation structure and README"
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deliverables:
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- "README.md"
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- "docs/architecture.md"
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- "docs/getting-started.md"
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- "CONTRIBUTING.md"
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quality_gates:
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- "Cargo build successful"
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- "CI/CD pipelines green"
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- "Architecture review approved"
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- "All traits have documentation"
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memory_coordination:
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keys:
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- "attention/phase1/traits" (trait definitions)
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- "attention/phase1/structure" (module layout)
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- "attention/phase1/specs" (specifications)
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success_criteria:
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- Clean cargo build
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- All CI checks pass
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- Trait design reviewed and approved
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- Documentation structure complete
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```
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### Phase 2: Core Implementation (Week 3-6)
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**Objective**: Implement foundational attention mechanisms
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```yaml
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phase_2:
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duration: "4 weeks"
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agents_involved: 8
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initialization:
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swarm_command: |
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npx claude-flow swarm init --topology mesh --agents 8 --namespace "core-attention"
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parallel_streams:
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stream_a:
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name: "core-attention-stream"
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agents: 3
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coordination: "mesh (all can communicate)"
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tasks:
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- task_id: "core-001"
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agent: "scaled-dot-product-dev"
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type: "coder"
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description: "Implement scaled dot-product attention"
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file: "src/core/scaled_dot_product.rs"
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tests: "tests/core/test_scaled_dot_product.rs"
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estimated_hours: 16
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dependencies: ["phase_1"]
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subtasks:
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- "Forward pass implementation"
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- "Backward pass (gradients)"
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- "Attention mask support"
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- "Numerical stability fixes"
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- "Unit tests (90% coverage)"
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hooks:
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pre_task: |
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npx claude-flow hooks pre-task --description "scaled dot-product attention"
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npx claude-flow hooks session-restore --session-id "core-attention"
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post_edit: |
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npx claude-flow hooks post-edit --file "src/core/scaled_dot_product.rs" \
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--memory-key "attention/core/scaled-dot-product"
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post_task: |
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npx claude-flow hooks post-task --task-id "core-001"
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npx claude-flow hooks notify --message "Scaled dot-product complete"
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- task_id: "core-002"
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agent: "multi-head-dev"
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type: "coder"
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description: "Implement multi-head attention"
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file: "src/core/multi_head.rs"
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tests: "tests/core/test_multi_head.rs"
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estimated_hours: 24
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dependencies: ["core-001"]
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subtasks:
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- "Head projection layers"
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- "Parallel attention computation"
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- "Output concatenation and projection"
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- "Dropout and layer norm"
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- "KV-cache support"
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- "Integration tests"
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- task_id: "core-003"
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agent: "attention-tester"
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type: "tester"
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description: "Comprehensive testing for core attention"
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estimated_hours: 16
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dependencies: ["core-001", "core-002"]
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deliverables:
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- "tests/core/integration_tests.rs"
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- "tests/core/property_tests.rs"
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- "benches/core_benchmarks.rs"
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stream_b:
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name: "geometric-attention-stream"
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agents: 2
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coordination: "leader-follower"
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dependencies: ["stream_a.core-001"]
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tasks:
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- task_id: "geo-001"
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agent: "hyperbolic-expert"
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type: "ml-developer"
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description: "Implement hyperbolic attention mechanisms"
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files:
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- "src/geometric/hyperbolic/poincare.rs"
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- "src/geometric/hyperbolic/lorentz.rs"
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- "src/geometric/hyperbolic/mobius.rs"
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estimated_hours: 40
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subtasks:
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- id: "geo-001-1"
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name: "Poincaré distance and operations"
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hours: 8
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tests_required: true
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- id: "geo-001-2"
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name: "Lorentz model implementation"
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hours: 8
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tests_required: true
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- id: "geo-001-3"
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name: "Möbius transformations"
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hours: 6
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tests_required: true
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- id: "geo-001-4"
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name: "Hyperbolic attention forward pass"
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hours: 10
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tests_required: true
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- id: "geo-001-5"
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name: "Gradient computation (Riemannian)"
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hours: 12
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tests_required: true
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- id: "geo-001-6"
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name: "Numerical stability and edge cases"
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hours: 6
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tests_required: true
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memory_keys:
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- "attention/geometric/hyperbolic/poincare"
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- "attention/geometric/hyperbolic/lorentz"
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- task_id: "geo-002"
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agent: "spherical-dev"
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type: "coder"
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description: "Implement spherical and mixed curvature attention"
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files:
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- "src/geometric/spherical.rs"
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- "src/geometric/mixed_curvature.rs"
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estimated_hours: 32
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dependencies: ["geo-001"]
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stream_c:
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name: "sparse-attention-stream"
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agents: 3
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coordination: "pipeline"
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dependencies: ["stream_a.core-002"]
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tasks:
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- task_id: "sparse-001"
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agent: "local-global-dev"
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type: "coder"
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description: "Implement local+global sparse attention"
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file: "src/sparse/local_global.rs"
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estimated_hours: 20
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- task_id: "sparse-002"
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agent: "linear-attention-dev"
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type: "ml-developer"
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description: "Implement linear attention (Performer-style)"
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file: "src/sparse/linear.rs"
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estimated_hours: 24
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- task_id: "sparse-003"
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agent: "flash-attention-dev"
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type: "performance-benchmarker"
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description: "Implement Flash Attention optimizations"
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file: "src/sparse/flash.rs"
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estimated_hours: 32
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optimization_targets:
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- "Memory-efficient attention computation"
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- "Kernel fusion where possible"
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- "Tiling strategies"
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- "Benchmark vs baseline (>2x speedup target)"
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dependency_graph:
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visualization: |
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core-001 (scaled dot-product)
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├─> core-002 (multi-head)
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│ ├─> sparse-001 (local+global)
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│ ├─> sparse-002 (linear)
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│ └─> sparse-003 (flash)
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└─> geo-001 (hyperbolic)
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└─> geo-002 (spherical/mixed)
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coordination_checkpoints:
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- checkpoint: "Week 3 End"
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required_complete: ["core-001", "core-002"]
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review_focus: "API stability, test coverage"
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- checkpoint: "Week 4 End"
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required_complete: ["geo-001", "sparse-001"]
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review_focus: "Numerical accuracy, performance"
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- checkpoint: "Week 6 End"
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required_complete: ["all stream tasks"]
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review_focus: "Integration, documentation"
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quality_gates:
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code_coverage:
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minimum: 85%
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per_module:
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core: 90%
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geometric: 85%
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sparse: 85%
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performance_benchmarks:
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- "Scaled dot-product < 10ms for 1024x1024"
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- "Multi-head (8 heads) < 50ms for 512x512"
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- "Flash attention 2x faster than baseline"
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code_quality:
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- "cargo clippy -- -D warnings"
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- "cargo fmt --check"
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- "No unsafe code without documentation"
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```
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### Phase 3: Advanced Features (Week 7-10)
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**Objective**: Implement graph and adaptive attention mechanisms
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```yaml
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phase_3:
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duration: "4 weeks"
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agents_involved: 7
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initialization:
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swarm_command: |
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npx claude-flow sparc concurrent "coder" "./tasks/advanced-attention.json"
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task_file_format:
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file: "./tasks/advanced-attention.json"
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content: |
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{
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"tasks": [
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{
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"id": "graph-001",
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"type": "graph-attention",
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"description": "Edge-featured attention for graphs",
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"agent_type": "ml-developer",
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"files": ["src/graph/edge_featured.rs"],
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"estimated_hours": 28
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},
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{
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"id": "graph-002",
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"type": "graph-attention",
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"description": "RoPE for graph structures",
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"agent_type": "coder",
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"files": ["src/graph/rope_graph.rs"],
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"estimated_hours": 24
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},
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...
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]
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}
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parallel_teams:
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graph_team:
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agents: 3
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tasks:
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- task: "edge-featured-attention"
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description: "Attention with edge features in graph neural networks"
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implementation:
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- "Edge feature encoding"
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- "Attention weight computation with edges"
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- "Message passing integration"
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file: "src/graph/edge_featured.rs"
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tests: "tests/graph/test_edge_featured.rs"
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- task: "rope-graph-attention"
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description: "Rotary positional embeddings for graph structures"
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implementation:
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- "Graph topology encoding"
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- "Distance-based rotations"
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- "Multi-hop attention"
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file: "src/graph/rope_graph.rs"
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- task: "cross-space-attention"
|
|
description: "Attention across different geometric spaces"
|
|
implementation:
|
|
- "Space bridging mechanisms"
|
|
- "Coordinate transformation"
|
|
- "Multi-space aggregation"
|
|
file: "src/graph/cross_space.rs"
|
|
|
|
coordination:
|
|
pattern: "mesh"
|
|
shared_memory:
|
|
- "attention/graph/edge-encoding"
|
|
- "attention/graph/topology-utils"
|
|
|
|
adaptive_team:
|
|
agents: 2
|
|
tasks:
|
|
- task: "moe-attention"
|
|
description: "Mixture-of-Experts attention routing"
|
|
implementation:
|
|
- "Expert networks (multiple attention heads)"
|
|
- "Gating network (soft routing)"
|
|
- "Load balancing loss"
|
|
- "Sparse expert selection"
|
|
file: "src/adaptive/moe.rs"
|
|
estimated_hours: 36
|
|
|
|
- task: "rl-navigation"
|
|
description: "RL-based latent space navigation"
|
|
implementation:
|
|
- "Policy network for attention routing"
|
|
- "Reward shaping (task-specific)"
|
|
- "PPO/A2C training loop"
|
|
- "Experience replay integration"
|
|
file: "src/adaptive/rl_navigation.rs"
|
|
estimated_hours: 40
|
|
|
|
dependencies:
|
|
- "phase_2.core-002" (multi-head base)
|
|
- "training-team.optimizer-001" (RL optimizers)
|
|
|
|
training_team:
|
|
agents: 2
|
|
tasks:
|
|
- task: "loss-functions"
|
|
description: "Implement training losses for attention learning"
|
|
implementations:
|
|
- "Triplet loss (margin, soft-margin, semi-hard)"
|
|
- "Contrastive loss (InfoNCE, SimCLR)"
|
|
- "Alignment loss (cross-space)"
|
|
- "Distillation loss"
|
|
file: "src/training/losses.rs"
|
|
|
|
- task: "optimizers"
|
|
description: "Custom optimizers for attention mechanisms"
|
|
implementations:
|
|
- "Riemannian Adam (for geometric spaces)"
|
|
- "Sparse Adam (for sparse attention)"
|
|
- "Lookahead optimizer wrapper"
|
|
file: "src/training/optimizers.rs"
|
|
|
|
integration_points:
|
|
week_7:
|
|
- "Graph attention base traits"
|
|
- "Adaptive attention interfaces"
|
|
|
|
week_8:
|
|
- "Edge-featured + RoPE graph complete"
|
|
- "MoE attention routing functional"
|
|
|
|
week_9:
|
|
- "RL navigation initial implementation"
|
|
- "Loss functions integrated"
|
|
|
|
week_10:
|
|
- "All advanced features complete"
|
|
- "Cross-module integration tests"
|
|
- "Performance benchmarks"
|
|
|
|
memory_coordination:
|
|
shared_state:
|
|
- key: "attention/graph/traits"
|
|
updated_by: ["graph-agent-1", "graph-agent-2", "graph-agent-3"]
|
|
read_by: ["all agents"]
|
|
|
|
- key: "attention/adaptive/moe-config"
|
|
updated_by: ["adaptive-agent-1"]
|
|
read_by: ["platform-team"]
|
|
|
|
- key: "attention/training/losses"
|
|
updated_by: ["training-agent-1"]
|
|
read_by: ["quality-team", "docs-team"]
|
|
|
|
quality_gates:
|
|
functionality:
|
|
- "Graph attention handles 10K+ nodes"
|
|
- "MoE routing balances load within 10%"
|
|
- "RL navigation converges in <100 episodes"
|
|
|
|
performance:
|
|
- "Edge-featured attention scales O(E) not O(V^2)"
|
|
- "MoE overhead <15% vs single expert"
|
|
|
|
testing:
|
|
- "Property-based tests for graph invariants"
|
|
- "RL policy convergence tests"
|
|
- "Loss function gradient checks"
|
|
```
|
|
|
|
### Phase 4: Platform Bindings (Week 11-14)
|
|
|
|
**Objective**: Create WASM and NAPI-RS bindings, CLI, SDK
|
|
|
|
```yaml
|
|
phase_4:
|
|
duration: "4 weeks"
|
|
agents_involved: 4
|
|
|
|
initialization:
|
|
swarm_command: |
|
|
npx claude-flow sparc batch "coder,tester" "platform bindings and interfaces"
|
|
|
|
parallel_tracks:
|
|
wasm_track:
|
|
agent: "wasm-specialist"
|
|
type: "coder"
|
|
duration: "3 weeks"
|
|
|
|
tasks:
|
|
- "Set up wasm-pack configuration"
|
|
- "Create WASM bindings for core attention"
|
|
- "Optimize binary size (<500KB target)"
|
|
- "TypeScript type definitions"
|
|
- "Browser compatibility testing"
|
|
- "NPM package publishing"
|
|
|
|
deliverables:
|
|
- "wasm/Cargo.toml"
|
|
- "wasm/src/lib.rs"
|
|
- "wasm/pkg/ (generated)"
|
|
- "wasm/examples/browser-demo.html"
|
|
- "wasm/README.md"
|
|
|
|
optimization_targets:
|
|
binary_size: "<500KB gzipped"
|
|
startup_time: "<100ms in browser"
|
|
memory_usage: "<50MB for typical workload"
|
|
|
|
build_commands: |
|
|
wasm-pack build --target web --release
|
|
wasm-pack build --target nodejs --release
|
|
wasm-pack test --headless --chrome
|
|
|
|
napi_track:
|
|
agents: 2
|
|
type: "backend-dev"
|
|
duration: "3 weeks"
|
|
|
|
node_versions: [18, 20, 22]
|
|
platforms: ["linux-x64", "darwin-x64", "darwin-arm64", "win32-x64"]
|
|
|
|
tasks:
|
|
- agent: "napi-core-dev"
|
|
focus: "Core NAPI bindings implementation"
|
|
files:
|
|
- "napi/Cargo.toml"
|
|
- "napi/src/lib.rs"
|
|
- "napi/src/attention.rs"
|
|
- "napi/src/geometric.rs"
|
|
- "napi/src/sparse.rs"
|
|
|
|
exposed_apis:
|
|
- "ScaledDotProductAttention"
|
|
- "MultiHeadAttention"
|
|
- "HyperbolicAttention"
|
|
- "FlashAttention"
|
|
- "MoEAttention"
|
|
|
|
- agent: "napi-test-dev"
|
|
focus: "Cross-platform testing and CI"
|
|
deliverables:
|
|
- "napi/tests/attention.test.js"
|
|
- "napi/tests/benchmark.js"
|
|
- ".github/workflows/napi-build.yml"
|
|
|
|
test_matrix: |
|
|
Node 18: linux, macos, windows
|
|
Node 20: linux, macos, windows
|
|
Node 22: linux, macos, windows
|
|
|
|
build_configuration: |
|
|
# napi/package.json
|
|
{
|
|
"napi": {
|
|
"name": "ruvector-attention",
|
|
"triples": {
|
|
"defaults": true,
|
|
"additional": [
|
|
"x86_64-unknown-linux-musl",
|
|
"aarch64-unknown-linux-gnu"
|
|
]
|
|
}
|
|
}
|
|
}
|
|
|
|
cli_track:
|
|
agent: "cli-developer"
|
|
type: "backend-dev"
|
|
duration: "2 weeks"
|
|
|
|
commands:
|
|
- name: "attention compute"
|
|
description: "Compute attention for given inputs"
|
|
args: ["--type", "--input", "--output", "--config"]
|
|
|
|
- name: "attention benchmark"
|
|
description: "Run benchmark suite"
|
|
args: ["--type", "--size", "--iterations"]
|
|
|
|
- name: "attention train"
|
|
description: "Train attention parameters"
|
|
args: ["--data", "--epochs", "--lr"]
|
|
|
|
- name: "attention convert"
|
|
description: "Convert between formats (ONNX, PyTorch, etc.)"
|
|
args: ["--from", "--to", "--model"]
|
|
|
|
implementation:
|
|
framework: "clap (v4)"
|
|
config_format: "TOML"
|
|
output_format: "JSON, YAML, or pretty-print"
|
|
|
|
deliverables:
|
|
- "cli/src/main.rs"
|
|
- "cli/src/commands/compute.rs"
|
|
- "cli/src/commands/benchmark.rs"
|
|
- "cli/src/commands/train.rs"
|
|
- "cli/README.md"
|
|
- "cli/examples/*.toml"
|
|
|
|
sdk_track:
|
|
agent: "sdk-architect"
|
|
type: "coder"
|
|
duration: "2 weeks"
|
|
|
|
languages:
|
|
- rust: "Native (main crate)"
|
|
- javascript: "Via WASM/NAPI"
|
|
- python: "Via PyO3 (future)"
|
|
|
|
sdk_components:
|
|
- "High-level attention builder API"
|
|
- "Configuration management"
|
|
- "Model serialization (serde)"
|
|
- "Integration examples"
|
|
|
|
examples:
|
|
- "examples/quick-start.rs"
|
|
- "examples/custom-attention.rs"
|
|
- "examples/training-loop.rs"
|
|
- "examples/onnx-export.rs"
|
|
- "examples/wasm-integration/"
|
|
- "examples/node-integration/"
|
|
|
|
documentation:
|
|
- "SDK reference documentation"
|
|
- "Tutorial series (5+ tutorials)"
|
|
- "API migration guide"
|
|
- "Performance tuning guide"
|
|
|
|
integration_phase:
|
|
week_14:
|
|
tasks:
|
|
- "Cross-platform testing (all bindings)"
|
|
- "End-to-end examples"
|
|
- "Documentation review"
|
|
- "NPM/crates.io publishing dry-run"
|
|
|
|
validation:
|
|
- "WASM works in Chrome, Firefox, Safari"
|
|
- "NAPI works on all target platforms"
|
|
- "CLI help is comprehensive"
|
|
- "SDK examples all compile and run"
|
|
|
|
quality_gates:
|
|
wasm:
|
|
- "Binary size <500KB"
|
|
- "TypeScript types generated correctly"
|
|
- "Browser tests pass in all major browsers"
|
|
|
|
napi:
|
|
- "All platforms build successfully"
|
|
- "Node 18, 20, 22 compatibility"
|
|
- "Zero-copy optimizations where possible"
|
|
|
|
cli:
|
|
- "All commands have --help"
|
|
- "Error messages are actionable"
|
|
- "Performance acceptable (<1s startup)"
|
|
|
|
sdk:
|
|
- "All examples compile without warnings"
|
|
- "Documentation coverage >90%"
|
|
- "API surface is ergonomic"
|
|
```
|
|
|
|
### Phase 5: Testing & Optimization (Week 15-18)
|
|
|
|
**Objective**: Comprehensive testing, benchmarking, optimization, and release preparation
|
|
|
|
```yaml
|
|
phase_5:
|
|
duration: "4 weeks"
|
|
agents_involved: 6
|
|
|
|
initialization:
|
|
swarm_command: |
|
|
npx claude-flow sparc pipeline "comprehensive testing and optimization"
|
|
|
|
sequential_stages:
|
|
stage_1_unit_tests:
|
|
duration: "1 week"
|
|
agents: 2
|
|
|
|
coverage_targets:
|
|
overall: 85%
|
|
core: 90%
|
|
geometric: 85%
|
|
sparse: 85%
|
|
graph: 85%
|
|
adaptive: 80%
|
|
training: 85%
|
|
bindings: 80%
|
|
|
|
test_types:
|
|
unit_tests:
|
|
- "Function-level correctness"
|
|
- "Edge case handling"
|
|
- "Error propagation"
|
|
|
|
property_tests:
|
|
- "Attention weights sum to 1"
|
|
- "Gradient numerical stability"
|
|
- "Geometric manifold constraints"
|
|
|
|
doc_tests:
|
|
- "All public APIs have runnable examples"
|
|
- "Documentation examples are tested"
|
|
|
|
tasks:
|
|
- agent: "unit-test-writer-1"
|
|
modules: ["core", "geometric", "sparse"]
|
|
estimated_hours: 40
|
|
|
|
- agent: "unit-test-writer-2"
|
|
modules: ["graph", "adaptive", "training"]
|
|
estimated_hours: 40
|
|
|
|
tools:
|
|
- "cargo test --all-features"
|
|
- "cargo tarpaulin (coverage)"
|
|
- "cargo-mutants (mutation testing)"
|
|
|
|
stage_2_integration_tests:
|
|
duration: "1 week"
|
|
agents: 2
|
|
dependencies: ["stage_1_unit_tests"]
|
|
|
|
test_scenarios:
|
|
- scenario: "End-to-end attention pipeline"
|
|
description: "Input -> Attention -> Output with real data"
|
|
modules: ["core", "sparse"]
|
|
|
|
- scenario: "Cross-space attention flow"
|
|
description: "Euclidean -> Hyperbolic -> Spherical"
|
|
modules: ["geometric", "graph"]
|
|
|
|
- scenario: "MoE routing and expert selection"
|
|
description: "Multi-expert attention with load balancing"
|
|
modules: ["adaptive", "training"]
|
|
|
|
- scenario: "WASM/NAPI integration"
|
|
description: "Rust <-> JS data marshalling"
|
|
modules: ["bindings"]
|
|
|
|
tasks:
|
|
- agent: "integration-tester-1"
|
|
focus: "Core integration tests"
|
|
files: ["tests/integration/attention_pipeline.rs"]
|
|
|
|
- agent: "integration-tester-2"
|
|
focus: "Platform integration tests"
|
|
files: ["tests/integration/bindings_test.rs"]
|
|
|
|
validation:
|
|
- "All integration tests pass"
|
|
- "No memory leaks detected (valgrind)"
|
|
- "Thread safety verified (loom)"
|
|
|
|
stage_3_benchmarks:
|
|
duration: "1 week"
|
|
agents: 1
|
|
dependencies: ["stage_2_integration_tests"]
|
|
|
|
agent: "performance-engineer"
|
|
type: "performance-benchmarker"
|
|
|
|
benchmark_suite:
|
|
attention_mechanisms:
|
|
- name: "scaled_dot_product_latency"
|
|
sizes: [128, 256, 512, 1024, 2048]
|
|
metrics: ["latency_p50", "latency_p95", "latency_p99"]
|
|
|
|
- name: "multi_head_throughput"
|
|
heads: [4, 8, 16, 32]
|
|
sequence_lengths: [128, 512, 1024]
|
|
metrics: ["throughput_qps", "memory_usage"]
|
|
|
|
- name: "hyperbolic_accuracy"
|
|
curvatures: [-1.0, -0.5, -0.1]
|
|
dimensions: [64, 128, 256]
|
|
metrics: ["numerical_error", "gradient_stability"]
|
|
|
|
- name: "flash_memory_efficiency"
|
|
batch_sizes: [1, 4, 16, 64]
|
|
sequence_lengths: [1024, 2048, 4096]
|
|
metrics: ["peak_memory_mb", "memory_vs_baseline_ratio"]
|
|
|
|
- name: "moe_routing_overhead"
|
|
num_experts: [4, 8, 16]
|
|
top_k: [1, 2, 4]
|
|
metrics: ["overhead_percent", "load_balance_variance"]
|
|
|
|
cross_platform:
|
|
- name: "wasm_vs_native_performance"
|
|
attention_types: ["scaled_dot_product", "multi_head"]
|
|
metrics: ["slowdown_ratio", "startup_overhead"]
|
|
|
|
- name: "napi_marshalling_overhead"
|
|
data_sizes: ["1KB", "10KB", "100KB", "1MB"]
|
|
metrics: ["serialization_us", "deserialization_us"]
|
|
|
|
regression_detection:
|
|
threshold: "5% slowdown vs baseline"
|
|
baseline_branch: "main"
|
|
alert_on_regression: true
|
|
|
|
optimization_targets:
|
|
- "Identify top 3 bottlenecks per module"
|
|
- "Profile with perf/flamegraph"
|
|
- "Suggest SIMD/parallelization opportunities"
|
|
|
|
deliverables:
|
|
- "benches/attention_suite.rs"
|
|
- "docs/performance-report.md"
|
|
- "charts/latency-comparison.svg"
|
|
- "charts/memory-usage.svg"
|
|
|
|
stage_4_optimization:
|
|
duration: "1 week"
|
|
agents: 1
|
|
dependencies: ["stage_3_benchmarks"]
|
|
|
|
agent: "optimizer"
|
|
type: "coder"
|
|
|
|
optimization_areas:
|
|
algorithmic:
|
|
- "Replace naive implementations with optimized variants"
|
|
- "Cache frequently computed values"
|
|
- "Reduce allocation overhead"
|
|
|
|
simd:
|
|
- "Vectorize attention score computation"
|
|
- "Use packed_simd for small matrices"
|
|
- "Platform-specific intrinsics where beneficial"
|
|
|
|
memory:
|
|
- "Pool allocations for repeated use"
|
|
- "In-place operations where possible"
|
|
- "Reduce copying via smart borrowing"
|
|
|
|
parallelism:
|
|
- "Rayon for embarrassingly parallel operations"
|
|
- "Multi-head attention parallelization"
|
|
- "Batch processing optimizations"
|
|
|
|
validation:
|
|
- "Benchmarks show >=10% improvement on >=3 workloads"
|
|
- "No regression on any existing benchmark"
|
|
- "All tests still pass after optimization"
|
|
|
|
final_validation:
|
|
week_18:
|
|
checklist:
|
|
code_quality:
|
|
- "cargo clippy --all-targets --all-features -- -D warnings ✓"
|
|
- "cargo fmt --all -- --check ✓"
|
|
- "cargo deny check licenses ✓"
|
|
- "cargo audit ✓"
|
|
|
|
testing:
|
|
- "Unit test coverage >=85% ✓"
|
|
- "Integration tests pass ✓"
|
|
- "Property tests pass ✓"
|
|
- "Doc tests pass ✓"
|
|
- "WASM tests pass (all browsers) ✓"
|
|
- "NAPI tests pass (all platforms) ✓"
|
|
|
|
performance:
|
|
- "No >5% regression vs baseline ✓"
|
|
- "Memory usage within targets ✓"
|
|
- "Binary sizes within targets ✓"
|
|
|
|
documentation:
|
|
- "API docs complete (>90% coverage) ✓"
|
|
- "Examples all compile and run ✓"
|
|
- "README is comprehensive ✓"
|
|
- "Architecture docs updated ✓"
|
|
- "Migration guide written ✓"
|
|
|
|
release_prep:
|
|
- "CHANGELOG.md updated ✓"
|
|
- "Version bumped (SemVer) ✓"
|
|
- "Git tags created ✓"
|
|
- "Release notes drafted ✓"
|
|
- "NPM/crates.io publish dry-run successful ✓"
|
|
|
|
deliverables:
|
|
- "Comprehensive test suite (500+ tests)"
|
|
- "Benchmark suite with historical tracking"
|
|
- "Performance report with charts"
|
|
- "Optimization documentation"
|
|
- "Release checklist (completed)"
|
|
```
|
|
|
|
---
|
|
|
|
## 3. Task Decomposition Template
|
|
|
|
### Standard Task Breakdown
|
|
|
|
```yaml
|
|
task_template:
|
|
attention_type: "{mechanism_name}"
|
|
module: "src/{category}/{mechanism}.rs"
|
|
|
|
subtasks:
|
|
- id: "{mechanism}-001"
|
|
name: "Mathematical foundation implementation"
|
|
description: "Core mathematical operations (distances, transformations)"
|
|
estimated_hours: 6
|
|
dependencies: []
|
|
tests_required: true
|
|
test_file: "tests/{category}/test_{mechanism}_math.rs"
|
|
|
|
acceptance_criteria:
|
|
- "All mathematical operations numerically stable"
|
|
- "Unit tests cover edge cases (zero, infinity, NaN)"
|
|
- "Property tests validate mathematical properties"
|
|
|
|
memory_keys:
|
|
write: ["attention/{category}/{mechanism}/math"]
|
|
read: ["attention/core/traits"]
|
|
|
|
- id: "{mechanism}-002"
|
|
name: "Forward pass implementation"
|
|
description: "Attention computation in forward direction"
|
|
estimated_hours: 8
|
|
dependencies: ["{mechanism}-001"]
|
|
tests_required: true
|
|
|
|
implementation_checklist:
|
|
- "Query, Key, Value transformations"
|
|
- "Attention score computation"
|
|
- "Softmax/normalization"
|
|
- "Output aggregation"
|
|
- "Attention mask support"
|
|
|
|
performance_targets:
|
|
- "Latency <{target}ms for {size}x{size}"
|
|
- "Memory usage <{target}MB"
|
|
|
|
- id: "{mechanism}-003"
|
|
name: "Backward pass (gradient computation)"
|
|
description: "Compute gradients for backpropagation"
|
|
estimated_hours: 12
|
|
dependencies: ["{mechanism}-002"]
|
|
tests_required: true
|
|
|
|
validation:
|
|
- "Gradient check (numerical vs analytical)"
|
|
- "Gradient flow (no vanishing/exploding)"
|
|
- "Memory efficiency (gradient checkpointing if needed)"
|
|
|
|
- id: "{mechanism}-004"
|
|
name: "Numerical stability and edge cases"
|
|
description: "Handle numerical issues and corner cases"
|
|
estimated_hours: 4
|
|
dependencies: ["{mechanism}-002", "{mechanism}-003"]
|
|
tests_required: true
|
|
|
|
edge_cases:
|
|
- "Very large/small values"
|
|
- "Zero attention weights"
|
|
- "Single-element sequences"
|
|
- "Batch size = 1"
|
|
|
|
- id: "{mechanism}-005"
|
|
name: "Integration and documentation"
|
|
description: "Integrate with rest of codebase and document"
|
|
estimated_hours: 4
|
|
dependencies: ["{mechanism}-004"]
|
|
tests_required: true
|
|
|
|
deliverables:
|
|
- "Module exports added to lib.rs"
|
|
- "Public API documented (rustdoc)"
|
|
- "Example usage code"
|
|
- "Integration test"
|
|
|
|
total_estimated_hours: 34
|
|
|
|
coordination:
|
|
hooks:
|
|
pre_task: |
|
|
npx claude-flow hooks pre-task --description "{mechanism} attention"
|
|
npx claude-flow hooks session-restore --session-id "attention-{category}"
|
|
|
|
post_each_subtask: |
|
|
npx claude-flow hooks post-edit --file "src/{category}/{mechanism}.rs" \
|
|
--memory-key "attention/{category}/{mechanism}/{subtask-id}"
|
|
|
|
post_task: |
|
|
npx claude-flow hooks post-task --task-id "{mechanism}"
|
|
npx claude-flow hooks notify --message "{mechanism} attention complete"
|
|
|
|
quality_gates:
|
|
code:
|
|
- "cargo clippy passes"
|
|
- "cargo fmt applied"
|
|
- "No unsafe code without justification"
|
|
|
|
tests:
|
|
- "Coverage >=85%"
|
|
- "All tests pass"
|
|
- "Property tests included"
|
|
|
|
performance:
|
|
- "Meets latency target"
|
|
- "Meets memory target"
|
|
- "No unexpected allocations in hot path"
|
|
```
|
|
|
|
### Example: Hyperbolic Attention Decomposition
|
|
|
|
```yaml
|
|
task: "hyperbolic_attention"
|
|
module: "src/geometric/hyperbolic.rs"
|
|
|
|
subtasks:
|
|
- id: "hyp-001"
|
|
name: "Poincaré ball distance implementation"
|
|
estimated_hours: 4
|
|
dependencies: []
|
|
tests_required: true
|
|
|
|
implementation:
|
|
- "Poincaré distance formula"
|
|
- "Möbius addition"
|
|
- "Möbius scalar multiplication"
|
|
- "Exponential map (exp_map)"
|
|
- "Logarithmic map (log_map)"
|
|
|
|
tests:
|
|
- "Distance symmetry: d(x, y) == d(y, x)"
|
|
- "Triangle inequality"
|
|
- "Boundary behavior (norm -> 1)"
|
|
- "Numerical stability near origin"
|
|
|
|
- id: "hyp-002"
|
|
name: "Lorentz model operations"
|
|
estimated_hours: 6
|
|
dependencies: []
|
|
tests_required: true
|
|
|
|
implementation:
|
|
- "Lorentzian distance"
|
|
- "Lorentz addition (gyrovector)"
|
|
- "Parallel transport"
|
|
- "Model conversion (Poincaré <-> Lorentz)"
|
|
|
|
validation:
|
|
- "Metric signature (-1, +1, +1, ...)"
|
|
- "Hyperboloid constraint"
|
|
|
|
- id: "hyp-003"
|
|
name: "Hyperbolic attention forward pass"
|
|
estimated_hours: 8
|
|
dependencies: ["hyp-001", "hyp-002"]
|
|
tests_required: true
|
|
|
|
algorithm: |
|
|
1. Map Q, K to Poincaré ball (if not already)
|
|
2. Compute pairwise Poincaré distances
|
|
3. Convert distances to attention scores (negative distance)
|
|
4. Apply softmax in tangent space
|
|
5. Aggregate V using Möbius weighted average
|
|
6. Map output back to appropriate space
|
|
|
|
performance_target:
|
|
- "512x512 attention in <50ms"
|
|
- "Numerical error <1e-6"
|
|
|
|
- id: "hyp-004"
|
|
name: "Riemannian gradient computation"
|
|
estimated_hours: 12
|
|
dependencies: ["hyp-003"]
|
|
tests_required: true
|
|
|
|
components:
|
|
- "Riemannian gradient (projection to tangent space)"
|
|
- "Parallel transport for gradient propagation"
|
|
- "Geodesic retraction"
|
|
|
|
gradient_check:
|
|
- "Numerical gradient vs analytical (tolerance 1e-5)"
|
|
- "Gradient norm stability"
|
|
|
|
- id: "hyp-005"
|
|
name: "Numerical stability fixes"
|
|
estimated_hours: 4
|
|
dependencies: ["hyp-003", "hyp-004"]
|
|
tests_required: true
|
|
|
|
issues_to_address:
|
|
- "Overflow/underflow in exponentials"
|
|
- "Division by zero near boundary"
|
|
- "Loss of precision in log operations"
|
|
|
|
solutions:
|
|
- "Log-sum-exp trick for softmax"
|
|
- "Clamping near boundary (norm < 1 - ε)"
|
|
- "Stable division via artanh"
|
|
|
|
total_hours: 34
|
|
completion_criteria:
|
|
- "All subtasks tested individually"
|
|
- "Integration test with multi-head attention"
|
|
- "Benchmark vs Euclidean baseline"
|
|
- "Documentation with mathematical background"
|
|
```
|
|
|
|
---
|
|
|
|
## 4. Agent Communication Protocol
|
|
|
|
### 4.1 Memory Coordination Namespace
|
|
|
|
```yaml
|
|
memory_structure:
|
|
namespace: "coordination"
|
|
|
|
key_hierarchy:
|
|
# Swarm-level coordination
|
|
swarm:
|
|
status: "swarm/hierarchical/status"
|
|
progress: "swarm/hierarchical/progress"
|
|
metrics: "swarm/hierarchical/metrics"
|
|
hierarchy: "swarm/shared/hierarchy"
|
|
|
|
# Phase-level state
|
|
phases:
|
|
phase_1: "swarm/phase/1/status"
|
|
phase_2: "swarm/phase/2/status"
|
|
phase_3: "swarm/phase/3/status"
|
|
phase_4: "swarm/phase/4/status"
|
|
phase_5: "swarm/phase/5/status"
|
|
|
|
# Team-level coordination
|
|
teams:
|
|
core: "swarm/team/core-attention/status"
|
|
geometric: "swarm/team/geometric/status"
|
|
sparse: "swarm/team/sparse/status"
|
|
graph: "swarm/team/graph/status"
|
|
adaptive: "swarm/team/adaptive/status"
|
|
training: "swarm/team/training/status"
|
|
platform: "swarm/team/platform/status"
|
|
quality: "swarm/team/quality/status"
|
|
|
|
# Worker-level state
|
|
workers:
|
|
pattern: "swarm/worker-{id}/status"
|
|
examples:
|
|
- "swarm/worker-1/status" # core-attention-dev-1
|
|
- "swarm/worker-2/status" # core-attention-dev-2
|
|
- "swarm/worker-3/status" # core-attention-tester
|
|
|
|
# Artifact-level sharing
|
|
artifacts:
|
|
traits: "attention/core/traits"
|
|
scaled_dot_product: "attention/core/scaled-dot-product"
|
|
multi_head: "attention/core/multi-head"
|
|
hyperbolic: "attention/geometric/hyperbolic"
|
|
flash: "attention/sparse/flash"
|
|
moe: "attention/adaptive/moe"
|
|
wasm_api: "bindings/wasm/api"
|
|
napi_api: "bindings/napi/api"
|
|
benchmarks: "tests/benchmarks/results"
|
|
```
|
|
|
|
### 4.2 Hook Integration
|
|
|
|
```yaml
|
|
hooks_protocol:
|
|
pre_task:
|
|
command: |
|
|
npx claude-flow hooks pre-task --description "{task_description}"
|
|
|
|
actions:
|
|
- "Restore previous session state"
|
|
- "Load relevant memory keys"
|
|
- "Check dependencies completed"
|
|
- "Allocate resources"
|
|
|
|
memory_reads:
|
|
- "swarm/hierarchical/status"
|
|
- "swarm/team/{team}/status"
|
|
- "attention/core/traits" (if needed)
|
|
|
|
example: |
|
|
npx claude-flow hooks pre-task \
|
|
--description "Implement hyperbolic attention" \
|
|
--session-id "attention-swarm" \
|
|
--team "geometric"
|
|
|
|
session_restore:
|
|
command: |
|
|
npx claude-flow hooks session-restore --session-id "{session_id}"
|
|
|
|
restores:
|
|
- "Previous task context"
|
|
- "File edit history"
|
|
- "Memory snapshots"
|
|
- "Coordination state"
|
|
|
|
example: |
|
|
npx claude-flow hooks session-restore --session-id "attention-swarm"
|
|
|
|
post_edit:
|
|
command: |
|
|
npx claude-flow hooks post-edit --file "{file_path}" --memory-key "{key}"
|
|
|
|
actions:
|
|
- "Auto-format code (rustfmt)"
|
|
- "Store file state in memory"
|
|
- "Train neural patterns"
|
|
- "Notify dependent agents"
|
|
|
|
memory_writes:
|
|
- "{memory_key}/content"
|
|
- "{memory_key}/timestamp"
|
|
- "{memory_key}/agent"
|
|
|
|
example: |
|
|
npx claude-flow hooks post-edit \
|
|
--file "src/geometric/hyperbolic.rs" \
|
|
--memory-key "attention/geometric/hyperbolic"
|
|
|
|
notify:
|
|
command: |
|
|
npx claude-flow hooks notify --message "{message}" --recipients "{agents}"
|
|
|
|
use_cases:
|
|
- "Notify dependent agents of completion"
|
|
- "Alert queen coordinator of issues"
|
|
- "Broadcast API changes"
|
|
|
|
example: |
|
|
npx claude-flow hooks notify \
|
|
--message "Hyperbolic attention complete, API available" \
|
|
--recipients "adaptive-team,graph-team"
|
|
|
|
post_task:
|
|
command: |
|
|
npx claude-flow hooks post-task --task-id "{task_id}"
|
|
|
|
actions:
|
|
- "Mark task complete in memory"
|
|
- "Update team progress"
|
|
- "Trigger dependent tasks"
|
|
- "Generate completion metrics"
|
|
|
|
memory_writes:
|
|
- "swarm/worker-{id}/tasks/{task_id}/complete"
|
|
- "swarm/team/{team}/progress"
|
|
- "swarm/hierarchical/progress"
|
|
|
|
example: |
|
|
npx claude-flow hooks post-task --task-id "hyp-001"
|
|
|
|
session_end:
|
|
command: |
|
|
npx claude-flow hooks session-end --export-metrics true
|
|
|
|
actions:
|
|
- "Export session summary"
|
|
- "Persist all memory"
|
|
- "Generate performance report"
|
|
- "Archive session data"
|
|
|
|
example: |
|
|
npx claude-flow hooks session-end \
|
|
--export-metrics true \
|
|
--output "session-reports/phase-2-completion.json"
|
|
```
|
|
|
|
### 4.3 Agent Communication Patterns
|
|
|
|
```yaml
|
|
communication_patterns:
|
|
broadcast:
|
|
description: "One agent sends to all in team"
|
|
use_case: "API change notification"
|
|
mechanism: "Memory write to shared key + notify hook"
|
|
example: |
|
|
# Agent writes to shared memory
|
|
mcp__claude-flow__memory_usage {
|
|
action: "store",
|
|
key: "attention/core/traits-v2",
|
|
namespace: "coordination",
|
|
value: JSON.stringify({ updated_api: {...} })
|
|
}
|
|
|
|
# Notify all team members
|
|
npx claude-flow hooks notify \
|
|
--message "Core traits updated to v2" \
|
|
--recipients "all"
|
|
|
|
request_response:
|
|
description: "Agent requests info from another"
|
|
use_case: "Check if dependency complete"
|
|
mechanism: "Memory read + conditional logic"
|
|
example: |
|
|
# Check if dependency complete
|
|
const status = mcp__claude-flow__memory_usage {
|
|
action: "retrieve",
|
|
key: "swarm/worker-1/tasks/core-001/complete",
|
|
namespace: "coordination"
|
|
}
|
|
|
|
if (status.value === "true") {
|
|
// Proceed with dependent task
|
|
}
|
|
|
|
pipeline:
|
|
description: "Sequential handoff between agents"
|
|
use_case: "Core -> Geometric -> Graph pipeline"
|
|
mechanism: "Post-task hook triggers next agent"
|
|
example: |
|
|
# Agent 1 completes
|
|
npx claude-flow hooks post-task --task-id "core-001"
|
|
|
|
# Hook automatically triggers Agent 2
|
|
# (configured in swarm initialization)
|
|
|
|
peer_to_peer:
|
|
description: "Direct collaboration between agents"
|
|
use_case: "Joint debugging session"
|
|
mechanism: "Shared memory workspace"
|
|
example: |
|
|
# Both agents read/write to shared debug space
|
|
mcp__claude-flow__memory_usage {
|
|
action: "store",
|
|
key: "swarm/debug/hyperbolic-issue",
|
|
namespace: "coordination",
|
|
value: JSON.stringify({
|
|
issue: "Gradient overflow",
|
|
findings: [...],
|
|
proposed_fix: "..."
|
|
})
|
|
}
|
|
```
|
|
|
|
### 4.4 Conflict Resolution
|
|
|
|
```yaml
|
|
conflict_resolution:
|
|
file_edit_conflicts:
|
|
prevention:
|
|
- "Assign non-overlapping file ownership"
|
|
- "Use feature branches per agent"
|
|
- "Lock mechanism via memory flags"
|
|
|
|
detection:
|
|
- "Git merge conflicts"
|
|
- "Memory timestamp comparison"
|
|
|
|
resolution:
|
|
- "Queen coordinator arbitrates"
|
|
- "Latest timestamp wins (with review)"
|
|
- "Manual merge by senior agent"
|
|
|
|
api_breaking_changes:
|
|
protocol:
|
|
1. "Agent proposes change via memory"
|
|
2. "Queen coordinator reviews impact"
|
|
3. "Affected agents notified"
|
|
4. "Consensus or decision by queen"
|
|
5. "Migration plan created"
|
|
6. "Coordinated update"
|
|
|
|
resource_contention:
|
|
scenarios:
|
|
- "Multiple agents need CI runner"
|
|
- "Memory/CPU limits reached"
|
|
|
|
solution:
|
|
- "Queen coordinator queues tasks"
|
|
- "Priority-based scheduling"
|
|
- "Resource reservation system"
|
|
```
|
|
|
|
---
|
|
|
|
## 5. Quality Gates
|
|
|
|
### 5.1 Code Review Requirements
|
|
|
|
```yaml
|
|
code_review:
|
|
required_approvals: 2
|
|
reviewer_types:
|
|
- "Peer reviewer (same team)"
|
|
- "Cross-team reviewer OR queen coordinator"
|
|
|
|
review_checklist:
|
|
correctness:
|
|
- "Algorithm implements spec correctly"
|
|
- "Edge cases handled"
|
|
- "Error handling appropriate"
|
|
|
|
performance:
|
|
- "No obvious performance issues"
|
|
- "Allocations minimized in hot paths"
|
|
- "Complexity analysis reasonable"
|
|
|
|
testing:
|
|
- "Unit tests cover >85% of code"
|
|
- "Integration tests exist"
|
|
- "Benchmarks added for new features"
|
|
|
|
documentation:
|
|
- "Public APIs documented"
|
|
- "Complex algorithms explained"
|
|
- "Examples provided"
|
|
|
|
style:
|
|
- "cargo fmt applied"
|
|
- "cargo clippy passes"
|
|
- "Naming conventions followed"
|
|
|
|
automated_checks:
|
|
ci_pipeline:
|
|
- name: "Rust CI"
|
|
steps:
|
|
- "cargo build --all-features"
|
|
- "cargo test --all-features"
|
|
- "cargo clippy -- -D warnings"
|
|
- "cargo fmt --check"
|
|
|
|
- name: "WASM CI"
|
|
steps:
|
|
- "wasm-pack build --target web"
|
|
- "wasm-pack test --headless --chrome"
|
|
|
|
- name: "NAPI CI"
|
|
steps:
|
|
- "npm run build"
|
|
- "npm test"
|
|
matrix:
|
|
node: [18, 20, 22]
|
|
os: [ubuntu-latest, macos-latest, windows-latest]
|
|
|
|
- name: "Benchmarks"
|
|
steps:
|
|
- "cargo bench --no-fail-fast"
|
|
- "compare with baseline"
|
|
- "alert on >5% regression"
|
|
|
|
approval_workflow:
|
|
1: "Agent submits PR"
|
|
2: "Automated checks run"
|
|
3: "Peer review (24h SLA)"
|
|
4: "Address feedback"
|
|
5: "Cross-team review (24h SLA)"
|
|
6: "Final approval by queen (if needed)"
|
|
7: "Merge to main"
|
|
```
|
|
|
|
### 5.2 Coverage Requirements
|
|
|
|
```yaml
|
|
coverage:
|
|
minimum_overall: 85%
|
|
|
|
per_module:
|
|
core:
|
|
target: 90%
|
|
rationale: "Foundation for all other modules"
|
|
critical_paths:
|
|
- "Attention score computation"
|
|
- "Softmax stability"
|
|
- "Gradient flow"
|
|
|
|
geometric:
|
|
target: 85%
|
|
rationale: "Complex math requires thorough testing"
|
|
focus_areas:
|
|
- "Distance computations"
|
|
- "Manifold constraints"
|
|
- "Numerical stability"
|
|
|
|
sparse:
|
|
target: 85%
|
|
rationale: "Performance-critical code"
|
|
focus_areas:
|
|
- "Memory access patterns"
|
|
- "Kernel optimizations"
|
|
- "Correctness vs dense baseline"
|
|
|
|
graph:
|
|
target: 85%
|
|
rationale: "Topology-aware operations"
|
|
focus_areas:
|
|
- "Edge feature handling"
|
|
- "Graph invariants"
|
|
- "Heterogeneous graphs"
|
|
|
|
adaptive:
|
|
target: 80%
|
|
rationale: "RL components have stochastic behavior"
|
|
focus_areas:
|
|
- "Routing logic"
|
|
- "Load balancing"
|
|
- "Expert selection"
|
|
|
|
training:
|
|
target: 85%
|
|
rationale: "Loss/optimizer correctness critical"
|
|
focus_areas:
|
|
- "Gradient computation"
|
|
- "Loss function properties"
|
|
- "Optimizer updates"
|
|
|
|
bindings:
|
|
target: 80%
|
|
rationale: "Type marshalling and FFI"
|
|
focus_areas:
|
|
- "Data conversion"
|
|
- "Error handling across FFI"
|
|
- "Memory management"
|
|
|
|
measurement:
|
|
tool: "cargo-tarpaulin"
|
|
command: |
|
|
cargo tarpaulin --all-features --workspace \
|
|
--out Xml --out Html --output-dir coverage/ \
|
|
--exclude-files 'target/*' 'examples/*'
|
|
|
|
reporting:
|
|
- "Coverage badge in README"
|
|
- "HTML report in coverage/"
|
|
- "CI fails if below threshold"
|
|
|
|
exceptions:
|
|
- file: "src/platform_specific/*.rs"
|
|
reason: "Platform-specific code tested on respective platforms"
|
|
|
|
- file: "src/experimental/*.rs"
|
|
reason: "Experimental features, lower threshold (70%)"
|
|
```
|
|
|
|
### 5.3 Performance Benchmarks
|
|
|
|
```yaml
|
|
benchmarks:
|
|
regression_threshold: 5%
|
|
baseline_branch: "main"
|
|
|
|
required_benchmarks:
|
|
core_attention:
|
|
- name: "scaled_dot_product_latency"
|
|
metric: "latency (ms)"
|
|
sizes: [128, 256, 512, 1024, 2048]
|
|
target: "<10ms for 1024x1024"
|
|
|
|
acceptance:
|
|
p50: "<10ms"
|
|
p95: "<15ms"
|
|
p99: "<20ms"
|
|
|
|
- name: "multi_head_throughput"
|
|
metric: "queries per second"
|
|
configurations:
|
|
- heads: 8, seq_len: 512
|
|
- heads: 16, seq_len: 512
|
|
- heads: 8, seq_len: 1024
|
|
target: ">1000 QPS for 8 heads, 512 seq_len"
|
|
|
|
geometric:
|
|
- name: "hyperbolic_accuracy"
|
|
metric: "numerical error"
|
|
test_cases:
|
|
- "Poincaré distance"
|
|
- "Möbius operations"
|
|
- "Gradient computation"
|
|
target: "<1e-6 error"
|
|
|
|
- name: "hyperbolic_performance"
|
|
metric: "latency vs Euclidean"
|
|
target: "<2x slowdown vs Euclidean baseline"
|
|
|
|
sparse:
|
|
- name: "flash_memory_usage"
|
|
metric: "peak memory (MB)"
|
|
batch_sizes: [1, 4, 16, 64]
|
|
seq_lengths: [1024, 2048, 4096]
|
|
target: "<50% of dense attention memory"
|
|
|
|
- name: "flash_speedup"
|
|
metric: "latency vs dense"
|
|
target: ">2x faster than dense attention"
|
|
|
|
- name: "linear_attention_scaling"
|
|
metric: "complexity"
|
|
seq_lengths: [1024, 2048, 4096, 8192]
|
|
target: "O(N) scaling confirmed"
|
|
|
|
adaptive:
|
|
- name: "moe_routing_overhead"
|
|
metric: "overhead (%)"
|
|
num_experts: [4, 8, 16]
|
|
target: "<15% overhead vs single expert"
|
|
|
|
- name: "moe_load_balance"
|
|
metric: "variance in expert utilization"
|
|
target: "<10% variance"
|
|
|
|
bindings:
|
|
- name: "wasm_startup_time"
|
|
metric: "latency (ms)"
|
|
target: "<100ms in browser"
|
|
|
|
- name: "wasm_vs_native"
|
|
metric: "slowdown ratio"
|
|
target: "<3x slower than native"
|
|
|
|
- name: "napi_marshalling"
|
|
metric: "overhead (us)"
|
|
data_sizes: ["1KB", "10KB", "100KB"]
|
|
target: "<100us for 10KB"
|
|
|
|
benchmark_suite:
|
|
framework: "criterion.rs"
|
|
configuration: |
|
|
[profile.bench]
|
|
opt-level = 3
|
|
lto = true
|
|
codegen-units = 1
|
|
|
|
execution: |
|
|
cargo bench --all-features -- --save-baseline main
|
|
cargo bench --all-features -- --baseline main
|
|
|
|
reporting:
|
|
- "HTML report in target/criterion/"
|
|
- "Comparison vs baseline"
|
|
- "Historical tracking"
|
|
- "Alert on regression >5%"
|
|
|
|
continuous_benchmarking:
|
|
schedule: "Every PR + nightly on main"
|
|
storage: "GitHub Pages (historical data)"
|
|
visualization: "Charts showing trends over time"
|
|
```
|
|
|
|
### 5.4 Security & Safety
|
|
|
|
```yaml
|
|
security:
|
|
unsafe_code:
|
|
policy: "Minimize unsafe code, justify all usage"
|
|
|
|
justification_required:
|
|
- "Performance-critical section (with benchmarks)"
|
|
- "FFI boundary (WASM/NAPI)"
|
|
- "Platform-specific optimizations"
|
|
|
|
review_process:
|
|
- "All unsafe blocks require documentation"
|
|
- "Soundness argument provided"
|
|
- "Alternative safe approaches considered"
|
|
- "Two reviewers required (vs one for safe code)"
|
|
|
|
dependencies:
|
|
audit_tool: "cargo-audit"
|
|
schedule: "Every PR + daily on main"
|
|
|
|
allowed_licenses:
|
|
- "MIT"
|
|
- "Apache-2.0"
|
|
- "BSD-3-Clause"
|
|
- "ISC"
|
|
|
|
license_check:
|
|
tool: "cargo-deny"
|
|
command: |
|
|
cargo deny check licenses
|
|
|
|
fuzzing:
|
|
targets:
|
|
- "Attention score computation (prevent NaN/Inf)"
|
|
- "Geometric operations (boundary cases)"
|
|
- "FFI data marshalling (prevent crashes)"
|
|
|
|
tool: "cargo-fuzz"
|
|
schedule: "Weekly fuzzing runs (4+ hours each)"
|
|
```
|
|
|
|
---
|
|
|
|
## 6. Rollback Strategy
|
|
|
|
### 6.1 Failure Scenarios & Responses
|
|
|
|
```yaml
|
|
rollback_scenarios:
|
|
scenario_1_task_failure:
|
|
description: "Individual task fails (tests don't pass, bugs found)"
|
|
|
|
detection:
|
|
- "CI pipeline fails"
|
|
- "Code review rejects"
|
|
- "Benchmarks show >10% regression"
|
|
|
|
response:
|
|
level_1_retry:
|
|
- "Agent debugs and fixes within 4 hours"
|
|
- "If fixed: proceed normally"
|
|
|
|
level_2_reassign:
|
|
- "Queen coordinator reassigns to different agent"
|
|
- "Provide additional context/resources"
|
|
- "Timeline: 8-12 hours"
|
|
|
|
level_3_revert:
|
|
- "Revert changes (git revert)"
|
|
- "Restore memory state to pre-task"
|
|
- "Schedule task for next phase"
|
|
|
|
prevention:
|
|
- "Smaller task sizes (<16 hours)"
|
|
- "Frequent check-ins (every 4-6 hours)"
|
|
- "Incremental commits"
|
|
|
|
scenario_2_phase_failure:
|
|
description: "Entire phase cannot complete on time or quality gates fail"
|
|
|
|
detection:
|
|
- "50% of tasks delayed >20%"
|
|
- "Quality gate failures across multiple modules"
|
|
- "Critical path blocked"
|
|
|
|
response:
|
|
assess:
|
|
- "Queen coordinator analyzes root cause"
|
|
- "Identify: scope creep, underestimation, blockers"
|
|
|
|
options:
|
|
option_a_scope_reduction:
|
|
- "Defer non-critical features to later phase"
|
|
- "Example: Defer RL navigation to Phase 6"
|
|
- "Deliver core functionality first"
|
|
|
|
option_b_extend_timeline:
|
|
- "Add 1-2 weeks to phase"
|
|
- "Adjust downstream phase schedules"
|
|
- "Communicate to stakeholders"
|
|
|
|
option_c_add_resources:
|
|
- "Spawn additional agents"
|
|
- "Parallelize more aggressively"
|
|
- "Risk: coordination overhead"
|
|
|
|
rollback:
|
|
- "Revert to last stable phase checkpoint"
|
|
- "Restore memory snapshot"
|
|
- "Restart phase with adjusted plan"
|
|
|
|
scenario_3_integration_failure:
|
|
description: "Modules don't integrate properly"
|
|
|
|
detection:
|
|
- "Integration tests fail"
|
|
- "API mismatches between modules"
|
|
- "Circular dependencies discovered"
|
|
|
|
response:
|
|
immediate:
|
|
- "Halt all affected modules"
|
|
- "Create integration task force (3 agents)"
|
|
- "Queen coordinator leads"
|
|
|
|
resolution:
|
|
- "Identify API contract issues"
|
|
- "Design integration layer"
|
|
- "Coordinate simultaneous updates"
|
|
- "Re-run integration tests"
|
|
|
|
rollback_if_needed:
|
|
- "Revert all affected modules to last known good state"
|
|
- "Redesign interfaces"
|
|
- "Sequential re-integration"
|
|
|
|
scenario_4_performance_regression:
|
|
description: "Benchmarks show unacceptable performance loss"
|
|
|
|
detection:
|
|
- "Benchmarks >10% slower than baseline"
|
|
- "Memory usage exceeds targets by >20%"
|
|
|
|
response:
|
|
analyze:
|
|
- "Profile with perf/flamegraph"
|
|
- "Identify bottleneck (algorithm, allocation, I/O)"
|
|
|
|
fix_options:
|
|
quick_fix:
|
|
- "If simple fix: apply and re-benchmark (2-4 hours)"
|
|
|
|
optimization_sprint:
|
|
- "If complex: dedicated optimization agent"
|
|
- "Timeline: 1-2 days"
|
|
- "Benchmark-driven development"
|
|
|
|
rollback:
|
|
- "If unfixable in reasonable time"
|
|
- "Revert to previous performant version"
|
|
- "Schedule optimization as separate task"
|
|
|
|
scenario_5_dependency_unavailable:
|
|
description: "External dependency breaks or is unavailable"
|
|
|
|
examples:
|
|
- "Crate update breaks API"
|
|
- "WASM/NAPI tooling regression"
|
|
- "CI infrastructure down"
|
|
|
|
response:
|
|
workaround:
|
|
- "Pin dependency to last known good version"
|
|
- "Use alternative if available"
|
|
|
|
fork_if_needed:
|
|
- "Fork dependency and apply fixes"
|
|
- "Contribute upstream"
|
|
- "Track for eventual merge"
|
|
|
|
defer:
|
|
- "If non-critical dependency"
|
|
- "Mark as TODO for later"
|
|
- "Proceed without feature"
|
|
```
|
|
|
|
### 6.2 Checkpoint & Restore
|
|
|
|
```yaml
|
|
checkpointing:
|
|
frequency:
|
|
automatic:
|
|
- "End of each phase"
|
|
- "After major milestones"
|
|
- "Before risky operations (major refactors)"
|
|
|
|
manual:
|
|
- "Queen coordinator can trigger anytime"
|
|
- "Agent can request checkpoint before complex task"
|
|
|
|
checkpoint_contents:
|
|
code:
|
|
- "Git tag: checkpoint-phase-{N}-{timestamp}"
|
|
- "All branches merged to checkpoint branch"
|
|
- "Clean build verified"
|
|
|
|
memory:
|
|
- "Memory snapshot: all coordination/* keys"
|
|
- "Export to JSON"
|
|
- "Store in .checkpoints/memory-{timestamp}.json"
|
|
|
|
state:
|
|
- "Task status (pending/in_progress/completed)"
|
|
- "Agent assignments"
|
|
- "Dependency graph"
|
|
- "Quality gate results"
|
|
|
|
artifacts:
|
|
- "Test results"
|
|
- "Benchmark data"
|
|
- "Coverage reports"
|
|
|
|
restore_procedure:
|
|
when_to_restore:
|
|
- "Phase failure requiring restart"
|
|
- "Catastrophic bug discovered"
|
|
- "Need to explore alternative approach"
|
|
|
|
steps:
|
|
1. "Identify checkpoint to restore"
|
|
2. "Halt all agents"
|
|
3. "Git reset --hard <checkpoint-tag>"
|
|
4. "Restore memory from JSON"
|
|
5. "Update agent task assignments"
|
|
6. "Resume with adjusted plan"
|
|
|
|
command_sequence: |
|
|
# Halt swarm
|
|
npx claude-flow swarm stop
|
|
|
|
# Restore code
|
|
git checkout checkpoint-phase-2-20250515
|
|
|
|
# Restore memory
|
|
npx claude-flow memory restore .checkpoints/memory-20250515.json
|
|
|
|
# Verify
|
|
cargo build --all-features
|
|
cargo test --all-features
|
|
|
|
# Resume
|
|
npx claude-flow swarm resume --plan adjusted-phase-2-plan.yaml
|
|
```
|
|
|
|
### 6.3 Graceful Degradation
|
|
|
|
```yaml
|
|
degradation_strategy:
|
|
principle: "Deliver core functionality first, advanced features later"
|
|
|
|
feature_priority_tiers:
|
|
tier_1_critical:
|
|
- "Scaled dot-product attention"
|
|
- "Multi-head attention"
|
|
- "Basic WASM bindings"
|
|
- "Basic NAPI bindings"
|
|
must_deliver: true
|
|
rollback_not_allowed: true
|
|
|
|
tier_2_important:
|
|
- "Hyperbolic attention (Poincaré only)"
|
|
- "Flash attention"
|
|
- "CLI basic commands"
|
|
- "Unit tests (85% coverage)"
|
|
can_defer: "to next release if needed"
|
|
|
|
tier_3_nice_to_have:
|
|
- "Spherical attention"
|
|
- "MoE attention"
|
|
- "RL navigation"
|
|
- "Full CLI suite"
|
|
can_defer: "yes, without major impact"
|
|
|
|
tier_4_experimental:
|
|
- "Cross-space attention"
|
|
- "Advanced RL strategies"
|
|
- "Custom optimizers"
|
|
can_defer: "yes, move to v2.0"
|
|
|
|
degradation_triggers:
|
|
time_pressure:
|
|
- "If <80% of phase complete at 80% of timeline"
|
|
- "Action: Defer Tier 3+ features"
|
|
|
|
quality_issues:
|
|
- "If Tier 1 features don't meet quality gates"
|
|
- "Action: Halt all Tier 2+ work, focus on Tier 1"
|
|
|
|
resource_constraints:
|
|
- "If agent capacity insufficient"
|
|
- "Action: Prioritize ruthlessly, defer Tier 3+"
|
|
|
|
communication:
|
|
stakeholders:
|
|
- "Transparent about deferrals"
|
|
- "Maintain roadmap with updated dates"
|
|
- "Document rationale for decisions"
|
|
```
|
|
|
|
### 6.4 Post-Rollback Analysis
|
|
|
|
```yaml
|
|
post_rollback:
|
|
required_actions:
|
|
retrospective:
|
|
participants: ["All affected agents", "Queen coordinator"]
|
|
agenda:
|
|
- "What went wrong?"
|
|
- "Why did it go wrong?"
|
|
- "How to prevent in the future?"
|
|
- "What did we learn?"
|
|
|
|
output:
|
|
- "Retrospective document in docs/retrospectives/"
|
|
- "Action items assigned"
|
|
- "Process improvements identified"
|
|
|
|
update_plan:
|
|
- "Revise task estimates based on learnings"
|
|
- "Adjust dependencies if needed"
|
|
- "Update quality gates if too strict/lax"
|
|
- "Modify coordination protocol if needed"
|
|
|
|
memory_cleanup:
|
|
- "Remove stale memory entries"
|
|
- "Update status to reflect rollback"
|
|
- "Archive failed attempt data (for learning)"
|
|
|
|
documentation:
|
|
- "Update CHANGELOG with rollback note"
|
|
- "Document what was attempted and why it failed"
|
|
- "Share learnings with team"
|
|
|
|
continuous_improvement:
|
|
metrics_to_track:
|
|
- "Rollback frequency (target: <5% of tasks)"
|
|
- "Time lost to rollbacks"
|
|
- "Common failure patterns"
|
|
|
|
adaptation:
|
|
- "Update task templates based on failures"
|
|
- "Improve estimation accuracy"
|
|
- "Enhance early warning systems"
|
|
- "Better resource allocation"
|
|
```
|
|
|
|
---
|
|
|
|
## 7. Success Metrics & KPIs
|
|
|
|
```yaml
|
|
success_metrics:
|
|
delivery:
|
|
on_time_delivery: ">90% of tasks complete within 110% of estimate"
|
|
phase_completion: "All 5 phases complete within 18 weeks"
|
|
feature_completeness: "100% of Tier 1, 90% of Tier 2 delivered"
|
|
|
|
quality:
|
|
code_coverage: ">=85% overall, per-module targets met"
|
|
bug_density: "<5 bugs per 1000 lines of code"
|
|
performance: "All benchmarks meet targets, <5% regressions"
|
|
documentation: ">90% of public APIs documented"
|
|
|
|
efficiency:
|
|
agent_utilization: "70-85% (not too low, not burned out)"
|
|
coordination_overhead: "<15% of total effort"
|
|
rework_rate: "<10% of code requires rework"
|
|
rollback_rate: "<5% of tasks rolled back"
|
|
|
|
collaboration:
|
|
cross_team_communication: "Measured via memory access patterns"
|
|
conflict_resolution_time: "<24 hours average"
|
|
knowledge_sharing: "All learnings documented in memory"
|
|
|
|
performance_benchmarks:
|
|
scaled_dot_product: "<10ms for 1024x1024"
|
|
multi_head: ">1000 QPS (8 heads, 512 seq)"
|
|
flash_memory: "<50% of dense attention"
|
|
wasm_startup: "<100ms"
|
|
napi_marshalling: "<100us for 10KB"
|
|
```
|
|
|
|
---
|
|
|
|
## 8. Emergency Protocols
|
|
|
|
```yaml
|
|
emergency_procedures:
|
|
critical_bug_in_production:
|
|
severity: "S1 (Critical)"
|
|
response_time: "Immediate"
|
|
|
|
procedure:
|
|
1. "Queen coordinator halts all work"
|
|
2. "Assemble emergency response team (3 senior agents)"
|
|
3. "Reproduce bug"
|
|
4. "Hotfix branch created"
|
|
5. "Fix implemented and tested"
|
|
6. "Emergency release (skip some process)"
|
|
7. "Post-mortem within 24 hours"
|
|
|
|
agent_unavailable:
|
|
scenario: "Agent fails/is unresponsive"
|
|
|
|
response:
|
|
1. "Queen coordinator detects via missed check-in"
|
|
2. "Reassign tasks to available agent"
|
|
3. "Restore agent's context from memory"
|
|
4. "New agent continues work"
|
|
|
|
queen_coordinator_unavailable:
|
|
scenario: "Coordinator fails"
|
|
|
|
response:
|
|
1. "Senior agent (pre-designated) takes over"
|
|
2. "Restore coordination state from memory"
|
|
3. "Continue operations with minimal disruption"
|
|
4. "New coordinator appointed if needed"
|
|
|
|
external_dependency_crisis:
|
|
examples: ["CI down", "crates.io unavailable", "GitHub outage"]
|
|
|
|
response:
|
|
1. "Switch to fallback infrastructure if available"
|
|
2. "Cache dependencies locally"
|
|
3. "Continue work on non-dependent tasks"
|
|
4. "Reschedule dependent tasks"
|
|
```
|
|
|
|
---
|
|
|
|
## 9. Timeline Visualization
|
|
|
|
```
|
|
Week 1-2: [==== Phase 1: Foundation ====]
|
|
- Project structure
|
|
- Core traits
|
|
- CI/CD setup
|
|
|
|
Week 3-6: [============ Phase 2: Core Implementation =============]
|
|
- Scaled dot-product (Week 3)
|
|
- Multi-head (Week 3-4)
|
|
- Geometric (Week 4-5)
|
|
- Sparse (Week 4-6)
|
|
|
|
Week 7-10: [=========== Phase 3: Advanced Features ============]
|
|
- Graph attention (Week 7-9)
|
|
- Adaptive attention (Week 7-10)
|
|
- Training utilities (Week 8-9)
|
|
|
|
Week 11-14: [=========== Phase 4: Platform Bindings ===========]
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- WASM (Week 11-13)
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- NAPI (Week 11-13)
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- CLI (Week 12-13)
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- SDK (Week 13-14)
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Week 15-18: [======== Phase 5: Testing & Optimization ========]
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- Unit tests (Week 15)
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- Integration tests (Week 16)
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- Benchmarks (Week 17)
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- Optimization (Week 18)
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|
────────────────────────────────────────────────────────────────
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🎯 Release v1.0.0 (End of Week 18)
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|
```
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---
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## 10. Execution Checklist
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### Pre-Swarm Initialization
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- [ ] Review this implementation plan
|
|
- [ ] Set up Git repository with clean `main` branch
|
|
- [ ] Configure CI/CD pipelines
|
|
- [ ] Install required tools (`cargo`, `wasm-pack`, `node`, etc.)
|
|
- [ ] Initialize memory coordination system
|
|
- [ ] Prepare task tracking (GitHub Projects or similar)
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|
|
|
### Phase-by-Phase Execution
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|
For each phase:
|
|
- [ ] Initialize swarm with appropriate topology
|
|
- [ ] Spawn all required agents
|
|
- [ ] Assign tasks with clear acceptance criteria
|
|
- [ ] Set up memory coordination keys
|
|
- [ ] Configure hooks for all agents
|
|
- [ ] Monitor progress (daily check-ins)
|
|
- [ ] Run quality gates at checkpoints
|
|
- [ ] Create checkpoint at phase end
|
|
- [ ] Hold retrospective
|
|
- [ ] Update plan based on learnings
|
|
|
|
### Post-Swarm Completion
|
|
- [ ] All tests passing
|
|
- [ ] All benchmarks meeting targets
|
|
- [ ] Documentation complete
|
|
- [ ] Release notes written
|
|
- [ ] CHANGELOG updated
|
|
- [ ] Version tagged
|
|
- [ ] Publish to crates.io
|
|
- [ ] Publish to NPM (WASM/NAPI)
|
|
- [ ] Announce release
|
|
- [ ] Archive swarm session data
|
|
|
|
---
|
|
|
|
## Conclusion
|
|
|
|
This swarm implementation plan provides a comprehensive, phase-by-phase approach to building the `ruvector-attention` crate. By leveraging hierarchical coordination, memory-based state sharing, and rigorous quality gates, the swarm can deliver a high-quality, performant attention mechanism library in 18 weeks.
|
|
|
|
**Key Success Factors:**
|
|
1. Clear task decomposition with realistic estimates
|
|
2. Effective coordination via memory and hooks
|
|
3. Rigorous quality gates at every level
|
|
4. Graceful degradation strategy for time pressure
|
|
5. Robust rollback mechanisms for failure recovery
|
|
6. Continuous learning and adaptation
|
|
|
|
**Next Steps:**
|
|
1. Review and approve this plan
|
|
2. Set up infrastructure (repos, CI/CD, tooling)
|
|
3. Initialize swarm for Phase 1
|
|
4. Execute systematically, phase by phase
|
|
5. Adapt and improve based on actual progress
|
|
|
|
---
|
|
|
|
**Document Version:** 1.0
|
|
**Last Updated:** 2025-11-30
|
|
**Status:** Ready for Execution
|