CodeRAG

# Feature Analysis - Codebase Search v1.0 ## ✅ Current Features ### Development Experience | Feature | Status | Notes | |---------|--------|-------| | **Watch mode** | ✅ | `dev: tsc --watch` (core), `dev: tsx` (mcp-server) | | **Incremental builds** | ✅ | `incremental: true` + `.tsbuildinfo` | | **TypeScript project references** | ✅ | MCP server references core package | | **Monorepo with Turbo** | ✅ | Parallel builds, caching | | **Package workspaces** | ✅ | Bun workspaces with `workspace:*` | | **Hot reload** | ⚠️ | Partial - dev mode rebuilds but no MCP hot reload | ### Core Search Features | Feature | Status | Implementation | |---------|--------|----------------| | **TF-IDF search** | ✅ | Full implementation with cosine similarity | | **Code-aware tokenization** | ✅ | camelCase, snake_case, PascalCase splitting | | **.gitignore support** | ✅ | Using `ignore` package | | **File type detection** | ✅ | Extension-based language detection | | **Binary file exclusion** | ✅ | Automatic binary detection | | **File size limits** | ✅ | Configurable (default 1MB) | | **Path filtering** | ✅ | Include/exclude path patterns | | **Extension filtering** | ✅ | Filter by file extensions | | **Content snippets** | ✅ | Configurable snippet generation | | **Progress tracking** | ✅ | Indexing progress callbacks | ### MCP Integration | Feature | Status | Notes | |---------|--------|-------| | **MCP tool registration** | ✅ | `codebase_search` tool | | **Auto-indexing on startup** | ✅ | Optional via `--no-auto-index` | | **Index status reporting** | ✅ | Progress bar during indexing | | **Error handling** | ✅ | Graceful error messages | | **Command-line options** | ✅ | `--root`, `--max-size`, `--no-auto-index` | | **Binary installation** | ✅ | `codebase-search-mcp` CLI | ### Documentation | Feature | Status | Quality | |---------|--------|---------| | **README** | ✅ | Comprehensive | | **Package READMEs** | ✅ | Core & MCP server | | **Usage examples** | ✅ | Basic usage example | | **API documentation** | ⚠️ | Inline JSDoc but no generated docs | | **Architecture docs** | ✅ | Just added | | **Roadmap** | ✅ | Just added | --- ## ❌ Critical Missing Features ### 1. Testing (Priority: CRITICAL) **Status:** ✅ Partially Complete (Core tests done) **Completed:** - ✅ 52 unit tests covering TF-IDF, storage, utils - ✅ 82.67% overall coverage (100% for TF-IDF and storage) - ✅ Vitest test framework with v8 coverage - ✅ HTML and LCOV coverage reports - ✅ Coverage thresholds (80%) **Missing:** - Integration tests for full indexing pipeline - MCP tool tests - Watch mode tests - Performance benchmarks **Impact:** Core functionality well-tested, MCP integration needs tests **Remaining Estimate:** 1 week - MCP tests: 2-3 days - Integration tests: 2-3 days - Benchmark suite: 1-2 days --- ### 2. Persistent Index (Priority: HIGH) **Status:** ❌ In-memory only **Current Limitation:** - Index lost on server restart - Must re-index entire codebase every time - No state preservation **Needed:** - SQLite storage backend - Serialize/deserialize TF-IDF vectors - File metadata persistence (hash, mtime) - Index versioning **Impact:** Poor UX for large codebases (re-indexing delay on restart) **Estimate:** 1-2 weeks --- ### 3. Incremental Indexing (Priority: HIGH) **Status:** ✅ Implemented in v1.1.0 **Completed:** - ✅ File change detection (add, change, delete events) - ✅ Automatic re-indexing on file changes - ✅ Watch mode with chokidar - ✅ Debounced updates (500ms) - ✅ .gitignore integration for watch **Remaining Optimization:** - ⚠️ Currently rebuilds entire TF-IDF index on each change - Could optimize to only update affected documents - Need benchmarks for large codebases **Impact:** Search results now always up-to-date --- ### 4. AST & Symbol Search (Priority: MEDIUM) **Status:** ❌ Text-based search only **Current Limitation:** - Can't search for specific symbols (functions, classes, types) - No structural understanding - No go-to-definition - No find-references **Needed:** - AST parsing (TypeScript, JavaScript, Python, Go, etc.) - Symbol extraction - Symbol index - Structural search queries **Impact:** Limited search capabilities, can't replace LSP features **Estimate:** 4-6 weeks (Phase 3) --- ### 5. CI/CD Pipeline (Priority: MEDIUM) **Status:** ✅ Complete **Completed:** - ✅ GitHub Actions workflow - ✅ Automated testing on push and PR - ✅ Type checking in CI - ✅ Build validation - ✅ Coverage upload to Codecov **Missing:** - Automated releases - npm publishing workflow **Impact:** Quality gates in place, manual releases only **Remaining Estimate:** 1-2 days --- ### 6. Code Quality Tools (Priority: MEDIUM) **Status:** ✅ Mostly Complete **Completed:** - ✅ ESLint configuration (TypeScript support) - ✅ Prettier formatting (configured) - ✅ Lint and format scripts **Missing:** - Pre-commit hooks (husky) - Strict TypeScript mode **Impact:** Code style enforced, pre-commit automation missing **Remaining Estimate:** 1 day --- ## ⚠️ Known Limitations ### Performance | Limitation | Impact | Future Solution | |------------|--------|-----------------| | Single-threaded indexing | Slow for large codebases (>10k files) | Worker threads | | In-memory only | High memory usage | Persistent storage | | No query caching | Repeated queries re-compute | Result caching | | No index compression | Large memory footprint | Compression | ### Search Accuracy | Limitation | Impact | Future Solution | |------------|--------|-----------------| | Text-based only | Can't understand code structure | AST parsing | | No type awareness | Can't search by type | Type index | | No semantic search | Can't find similar code | Embeddings | | Simple tokenization | Misses complex patterns | Advanced NLP | ### Scalability | Limitation | Impact | Future Solution | |------------|--------|-----------------| | No distributed indexing | Can't handle massive repos | Index sharding | | No multi-repo support | One repo at a time | Multi-repo indexing | | No incremental updates | Re-index on change | Smart incremental | --- ## 🎯 Feature Completeness Score ### By Category | Category | Score | Status | |----------|-------|--------| | **Core Search** | 90% | 🟢 Excellent | | **Development Tools** | 85% | 🟢 Good | | **MCP Integration** | 90% | 🟢 Excellent | | **Testing** | 70% | 🟢 Good | | **Persistence** | 0% | 🔴 Missing | | **Incremental Indexing** | 100% | 🟢 Complete | | **Symbol Search** | 0% | 🔴 Missing | | **CI/CD** | 90% | 🟢 Complete | | **Code Quality** | 85% | 🟢 Good | | **Documentation** | 90% | 🟢 Excellent | **Overall: 68%** (11/15 major features complete, 5 excellent) --- ## 📊 Comparison with Similar Tools ### vs. ripgrep | Feature | Codebase Search | ripgrep | |---------|-----------------|---------| | Text search | ✅ (TF-IDF) | ✅ (regex) | | Speed | 🟡 Moderate | 🟢 Very fast | | Ranking | ✅ TF-IDF | ❌ None | | MCP integration | ✅ | ❌ | | Symbol search | ❌ | ❌ | ### vs. Sourcegraph | Feature | Codebase Search | Sourcegraph | |---------|-----------------|-------------| | Text search | ✅ | ✅ | | Symbol search | ❌ | ✅ | | Multi-repo | ❌ | ✅ | | Self-hosted | ✅ | ✅ (complex) | | Lightweight | ✅ | ❌ | | MCP integration | ✅ | ❌ | ### vs. GitHub Code Search | Feature | Codebase Search | GitHub | |---------|-----------------|--------| | Local search | ✅ | ❌ | | Symbol search | ❌ | ✅ | | Privacy | ✅ (local) | ❌ (cloud) | | MCP integration | ✅ | ❌ | | Cost | Free | Requires account | ### vs. Language Servers (LSP) | Feature | Codebase Search | LSP | |---------|-----------------|-----| | Symbol search | ❌ | ✅ | | Go-to-definition | ❌ | ✅ | | Find references | ❌ | ✅ | | Full-text search | ✅ | ❌ | | Multi-file search | ✅ | ⚠️ Limited | | Ranking | ✅ | ❌ | | MCP integration | ✅ | ❌ | **Unique Strengths:** 1. TF-IDF ranking (better than simple text search) 2. MCP integration (works with Claude Desktop) 3. Lightweight (no complex setup) 4. Local-first (privacy) **Key Gaps:** 1. No AST/symbol search (LSP advantage) 2. No persistent index (startup delay) 3. No incremental updates (inefficient) --- ## 🚀 Recommended Priorities ### Phase 1: Foundation (Weeks 1-3) 1. **Tests** (Week 1-2) - Core TF-IDF tests - Indexing tests - MCP tool tests - Target: 80% coverage 2. **CI/CD** (Week 3) - GitHub Actions - Automated testing - Release automation 3. **Code Quality** (Week 3) - ESLint + Prettier - Pre-commit hooks - Strict TypeScript ### Phase 2: Performance (Weeks 4-6) 1. **Persistent Storage** (Week 4-5) - SQLite backend - Index serialization - Migration strategy 2. **Incremental Indexing** (Week 5-6) - Change detection - Partial re-indexing - Watch mode ### Phase 3: Advanced Features (Weeks 7-12) 1. **AST Parsing** (Week 7-9) - TypeScript/JavaScript parser - Symbol extraction - Symbol index 2. **Symbol Search** (Week 10-12) - Search by name - Search by type - Find references - Go-to-definition --- ## 🎓 Lessons Learned ### What Worked Well 1. ✅ Monorepo structure - easy to manage 2. ✅ TypeScript - caught many bugs early 3. ✅ MCP integration - seamless with Claude 4. ✅ Simple TF-IDF - good enough for v1.0 ### What Needs Improvement 1. ⚠️ Should have started with tests 2. ⚠️ Persistent storage should have been in v1.0 3. ⚠️ Need benchmarks from the start 4. ⚠️ Documentation written after code (should be concurrent) ### Future Design Principles 1. **Test-first** - Write tests before implementation 2. **Benchmark early** - Measure performance from day 1 3. **Incremental from start** - Don't build full re-index only 4. **Plugin architecture** - Design for extensibility upfront --- ## 📝 Summary **Current State:** - ✅ Basic TF-IDF search works well - ✅ MCP integration is solid - ✅ Development experience is good - ❌ Critical: No tests - ❌ High priority: No persistence or incremental indexing - ❌ Medium priority: No symbol search **Production Readiness:** 68% - Core functionality: 90% ✅ - Quality/testing: 80% ✅ - Scalability: 50% ⚠️ **Completed Since Last Review:** 1. ✅ Comprehensive test suite (52 tests, 82.67% coverage) 2. ✅ CI/CD pipeline with GitHub Actions 3. ✅ Code quality tools (ESLint + Prettier) 4. ✅ File watching with auto-index updates **Next Steps:** 1. Add integration and MCP tests (1 week) 2. Implement persistent storage (2 weeks) 3. Plan AST/symbol search for v2.0 **Timeline to Production:** - Complete tests: 1 week - Persistence: 2 weeks - **Total: 3 weeks to production-ready v1.2**