Files

Claude 6ed69a3d48 feat: Complete Rust port of WiFi-DensePose with modular crates

Major changes:
- Organized Python v1 implementation into v1/ subdirectory
- Created Rust workspace with 9 modular crates:
  - wifi-densepose-core: Core types, traits, errors
  - wifi-densepose-signal: CSI processing, phase sanitization, FFT
  - wifi-densepose-nn: Neural network inference (ONNX/Candle/tch)
  - wifi-densepose-api: Axum-based REST/WebSocket API
  - wifi-densepose-db: SQLx database layer
  - wifi-densepose-config: Configuration management
  - wifi-densepose-hardware: Hardware abstraction
  - wifi-densepose-wasm: WebAssembly bindings
  - wifi-densepose-cli: Command-line interface

Documentation:
- ADR-001: Workspace structure
- ADR-002: Signal processing library selection
- ADR-003: Neural network inference strategy
- DDD domain model with bounded contexts

Testing:
- 69 tests passing across all crates
- Signal processing: 45 tests
- Neural networks: 21 tests
- Core: 3 doc tests

Performance targets:
- 10x faster CSI processing (~0.5ms vs ~5ms)
- 5x lower memory usage (~100MB vs ~500MB)
- WASM support for browser deployment

2026-01-13 03:11:16 +00:00

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Self-Healing Workflows

Purpose

Automatically detect and recover from errors without interrupting your flow.

Self-Healing Features

1. Error Detection

Monitors for:

Failed commands
Syntax errors
Missing dependencies
Broken tests

2. Automatic Recovery

Missing Dependencies:

Error: Cannot find module 'express'
→ Automatically runs: npm install express
→ Retries original command

Syntax Errors:

Error: Unexpected token
→ Analyzes error location
→ Suggests fix through analyzer agent
→ Applies fix with confirmation

Test Failures:

Test failed: "user authentication"
→ Spawns debugger agent
→ Analyzes failure cause
→ Implements fix
→ Re-runs tests

3. Learning from Failures

Each recovery improves future prevention:

Patterns saved to knowledge base
Similar errors prevented proactively
Recovery strategies optimized

Pattern Storage:

// Store error patterns
mcp__claude-flow__memory_usage({
  "action": "store",
  "key": "error-pattern-" + Date.now(),
  "value": JSON.stringify(errorData),
  "namespace": "error-patterns",
  "ttl": 2592000 // 30 days
})

// Analyze patterns
mcp__claude-flow__neural_patterns({
  "action": "analyze",
  "operation": "error-recovery",
  "outcome": "success"
})

Self-Healing Integration

MCP Tool Coordination

// Initialize self-healing swarm
mcp__claude-flow__swarm_init({
  "topology": "star",
  "maxAgents": 4,
  "strategy": "adaptive"
})

// Spawn recovery agents
mcp__claude-flow__agent_spawn({
  "type": "monitor",
  "name": "Error Monitor",
  "capabilities": ["error-detection", "recovery"]
})

// Orchestrate recovery
mcp__claude-flow__task_orchestrate({
  "task": "recover from error",
  "strategy": "sequential",
  "priority": "critical"
})

Fallback Hook Configuration

{
  "PostToolUse": [{
    "matcher": "^Bash$",
    "command": "npx claude-flow hook post-bash --exit-code '${tool.result.exitCode}' --auto-recover"
  }]
}

Benefits

🛡️ Resilient workflows
🔄 Automatic recovery
📚 Learns from errors
⏱️ Saves debugging time

2.1 KiB Raw Blame History