Introduces automated testing infrastructure to measure CodeGraph performance across searchNodes and findRelevantContext APIs. Includes recall/MRR scoring metrics, predefined test cases for symbol lookup and context exploration, and JSON report generation. Enhances context building with acronym extraction, definition prefix matching, and improved FTS filtering to exclude imports by default.
Adds support for Dart and Liquid languages with tree-sitter parsing.
Improves accuracy of code symbol extraction for existing languages.
Indexes project files to enhance code navigation features.
Migrates build system to facilitate code contributions.
Removes git hook functionality.
Integrates Sentry for error tracking and reporting.
Enhances project initialization and configuration loading.
- Add evaluation test suite with TypeScript and Python fixtures
- Fix MCP server to defer CodeGraph init until rootUri received
- Fix call edge extraction by calling resolveReferences() after indexAll/sync
- Fix glob matching for root-level files (e.g., **/*.py now matches auth.py)
- Fix duplicate node extraction for methods inside classes
- Update context tests to use buildContext for semantic search + graph traversal
- Export unused formatter functions to fix build
Evaluation results:
- TypeScript: 96% precision, 79% recall, 85% F1
- Python: 99% precision, 80% recall, 85% F1
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Colby McHenry
