Files
wifi-densepose/.claude/commands/sparc/coder.md
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

1.2 KiB

SPARC Coder Mode

Purpose

Autonomous code generation with batch file operations.

Activation

Option 1: Using MCP Tools (Preferred in Claude Code)

mcp__claude-flow__sparc_mode {
  mode: "coder",
  task_description: "implement user authentication",
  options: {
    test_driven: true,
    parallel_edits: true
  }
}

Option 2: Using NPX CLI (Fallback when MCP not available)

# Use when running from terminal or MCP tools unavailable
npx claude-flow sparc run coder "implement user authentication"

# For alpha features
npx claude-flow@alpha sparc run coder "implement user authentication"

Option 3: Local Installation

# If claude-flow is installed locally
./claude-flow sparc run coder "implement user authentication"

Core Capabilities

  • Feature implementation
  • Code refactoring
  • Bug fixes
  • API development
  • Algorithm implementation

Batch Operations

  • Parallel file creation
  • Concurrent code modifications
  • Batch import updates
  • Test file generation
  • Documentation updates

Code Quality

  • ES2022 standards
  • Type safety with TypeScript
  • Comprehensive error handling
  • Performance optimization
  • Security best practices