231 lines
7.1 KiB
Markdown
231 lines
7.1 KiB
Markdown
# Agent Booster: Complete Planning Documentation
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> **Ultra-fast code application engine - 200x faster than Morph LLM at $0 cost**
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## 📚 Documentation Index
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### Core Planning Documents
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1. **[00-OVERVIEW.md](./00-OVERVIEW.md)** - Vision, Objectives & Success Metrics
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- Project vision and motivation
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- Core objectives (performance, accuracy, cost, DX)
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- Key features and capabilities
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- Development phases (10 weeks)
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- Success criteria and metrics
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- Open questions and next steps
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2. **[01-ARCHITECTURE.md](./01-ARCHITECTURE.md)** - Technical Architecture & Design
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- System architecture diagrams
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- Rust crate structure (core, native, wasm)
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- Module breakdown (parser, embeddings, vector, merge)
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- Data flow and algorithms
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- Performance optimizations
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- Testing strategy
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- Error handling
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3. **[02-INTEGRATION.md](./02-INTEGRATION.md)** - Integration with Agentic-Flow & MCP
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- Agentic-flow integration (.env, tools, CLI)
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- MCP server architecture
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- Tool implementations
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- Configuration presets
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- Metrics & monitoring
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- Workspace detection
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4. **[03-BENCHMARKS.md](./03-BENCHMARKS.md)** - Benchmark Methodology
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- Test dataset design (100 samples)
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- Morph LLM baseline (Claude Sonnet/Opus/Haiku)
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- Agent Booster variants (native/WASM/TypeScript)
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- Metrics collection (performance, accuracy, cost)
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- Statistical analysis
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- Expected results (166x speedup, 100% cost savings)
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5. **[04-NPM-SDK.md](./04-NPM-SDK.md)** - NPM SDK & CLI Design
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- Package structure (agent-booster, agent-booster-cli)
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- Auto-detection loader (native > WASM)
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- TypeScript definitions
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- CLI commands (apply, batch, watch, mcp, dashboard)
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- Platform-specific packages
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- Distribution strategy
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6. **[README.md](./README.md)** - Main README (for crate/package)
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- Quick start guide
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- Performance comparison tables
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- Feature comparison vs Morph LLM
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- Usage examples
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- Installation instructions
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- Documentation links
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7. **[GITHUB-ISSUE.md](./GITHUB-ISSUE.md)** - GitHub Issue Template
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- Complete feature request
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- Implementation roadmap (10 weeks)
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- Task breakdown by phase
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- Success criteria
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- Testing checklist
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- Release plan
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## 🎯 Quick Reference
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### Key Performance Targets
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| Metric | Morph LLM | Agent Booster | Improvement |
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|--------|-----------|---------------|-------------|
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| **Latency (p50)** | 6,000ms | 30ms | **200x faster** ⚡ |
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| **Throughput** | 10,500 tok/s | 1M+ tok/s | **95x faster** ⚡ |
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| **Cost/edit** | $0.01 | $0.00 | **100% savings** 💰 |
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| **Accuracy** | 98% | 97-99% | **Comparable** ✅ |
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| **Privacy** | API | Local | **100% private** 🔒 |
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### Technology Stack
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```
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Core:
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├── Rust (performance + safety)
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├── Tree-sitter (AST parsing, 40+ languages)
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├── ONNX Runtime (local ML inference)
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└── HNSW (vector similarity)
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Bindings:
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├── napi-rs (Node.js native addon)
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├── wasm-bindgen (WebAssembly)
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└── TypeScript (type-safe API)
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Models:
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├── jina-embeddings-v2-base-code (768-dim, best)
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└── all-MiniLM-L6-v2 (384-dim, fast)
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```
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### Project Structure
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```
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agent-booster/
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├── crates/
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│ ├── agent-booster/ # Core Rust library
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│ ├── agent-booster-native/ # napi-rs bindings
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│ └── agent-booster-wasm/ # WASM bindings
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│
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├── npm/
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│ ├── agent-booster/ # Main NPM package
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│ └── agent-booster-cli/ # Standalone CLI
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│
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├── benchmarks/ # Benchmark suite
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│ ├── datasets/ # Test code samples
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│ ├── baselines/ # Morph LLM baselines
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│ └── results/ # Benchmark outputs
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│
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└── docs/ # Documentation
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```
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### 10-Week Implementation Roadmap
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- **Week 1-2**: Foundation (Rust setup, tree-sitter, benchmarks)
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- **Week 3-4**: Core engine (embeddings, vector search, merge)
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- **Week 5**: Native integration (napi-rs, NPM package)
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- **Week 6**: WASM support (browser compatibility)
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- **Week 7**: Agentic-flow integration (.env, tools)
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- **Week 8**: MCP server (Claude/Cursor/VS Code)
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- **Week 9**: CLI & SDK (npx agent-booster)
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- **Week 10**: Documentation & release
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## 🚀 Getting Started
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### For Reviewers
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1. Read **[00-OVERVIEW.md](./00-OVERVIEW.md)** for high-level vision
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2. Review **[01-ARCHITECTURE.md](./01-ARCHITECTURE.md)** for technical design
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3. Check **[03-BENCHMARKS.md](./03-BENCHMARKS.md)** for validation plan
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4. See **[GITHUB-ISSUE.md](./GITHUB-ISSUE.md)** for complete task breakdown
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### For Implementers
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1. Start with **[01-ARCHITECTURE.md](./01-ARCHITECTURE.md)** for crate structure
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2. Follow **[GITHUB-ISSUE.md](./GITHUB-ISSUE.md)** roadmap (week by week)
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3. Reference **[02-INTEGRATION.md](./02-INTEGRATION.md)** for agentic-flow integration
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4. Use **[04-NPM-SDK.md](./04-NPM-SDK.md)** for NPM package design
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### For Users
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1. Start with **[README.md](./README.md)** for quick start
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2. Check **[02-INTEGRATION.md](./02-INTEGRATION.md)** for usage examples
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3. Review **[03-BENCHMARKS.md](./03-BENCHMARKS.md)** for performance data
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## 📊 Expected Results
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### Performance (100 edits)
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```
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Morph LLM baseline:
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├─ Total time: 10 minutes
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├─ Total cost: $1.00
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└─ Method: API calls
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Agent Booster:
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├─ Total time: 3.5 seconds ⚡ 170x faster
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├─ Total cost: $0.00 💰 100% savings
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└─ Method: Local inference
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Hybrid (80% Agent Booster, 20% fallback):
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├─ Total time: 1.4 minutes ⚡ 7x faster
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├─ Total cost: $0.20 💰 80% savings
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└─ Best accuracy + speed
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```
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### Accuracy
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| Complexity | Morph LLM | Agent Booster | Difference |
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|------------|-----------|---------------|------------|
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| Simple | 99.2% | 98.5% | -0.7% |
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| Medium | 97.8% | 96.2% | -1.6% |
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| Complex | 96.1% | 93.8% | -2.3% |
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| **Overall** | **98.0%** | **96.8%** | **-1.2%** |
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## 🎯 Success Metrics
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### MVP (v0.1)
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- [x] Complete planning
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- [ ] Core Rust library functional
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- [ ] 100x speedup demonstrated
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- [ ] 95%+ accuracy on simple edits
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- [ ] Agentic-flow integration working
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### Production (v1.0)
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- [ ] WASM support
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- [ ] MCP server
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- [ ] 5+ languages
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- [ ] >80% test coverage
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- [ ] Documentation site
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### Adoption
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- [ ] 100+ GitHub stars
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- [ ] 1,000+ npm downloads
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- [ ] 10+ production users
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- [ ] 5+ contributors
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## 💡 Key Innovations
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1. **Vector-Based Semantic Merging** - No LLM needed for code application
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2. **Hybrid Fallback Strategy** - Best of both worlds (speed + accuracy)
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3. **Universal Deployment** - Native, WASM, MCP server from one codebase
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4. **Zero Runtime Cost** - 100% local after model download
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5. **Deterministic Results** - Same input always produces same output
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## 🤝 Next Steps
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1. **Review Planning** - Get team feedback on architecture
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2. **Finalize Scope** - Confirm MVP features
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3. **Create GitHub Issue** - Use [GITHUB-ISSUE.md](./GITHUB-ISSUE.md) template
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4. **Begin Phase 1** - Setup Rust workspace and benchmarks
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5. **Recruit Contributors** - Find Rust developers interested
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## 📝 Questions or Feedback?
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- Open an issue on GitHub
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- Comment on the planning documents
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- Join the discussion in Discord
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- DM the project maintainers
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---
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**Ready to make AI code editing 200x faster! 🚀**
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*Last updated: 2025-10-07*
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