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
550 B
550 B
pr-enhance
AI-powered pull request enhancements.
Usage
npx claude-flow github pr-enhance [options]
Options
--pr-number <n>- Pull request number--add-tests- Add missing tests--improve-docs- Improve documentation--check-security- Security review
Examples
# Enhance PR
npx claude-flow github pr-enhance --pr-number 123
# Add tests
npx claude-flow github pr-enhance --pr-number 123 --add-tests
# Full enhancement
npx claude-flow github pr-enhance --pr-number 123 --add-tests --improve-docs