Building a better Bugbot
4 months ago
- #AI
- #Automation
- #Code Review
- Bugbot is a code review agent designed to analyze pull requests for logic bugs, performance issues, and security vulnerabilities before they reach production.
- The development of Bugbot started with qualitative assessments and evolved into a systematic approach using a custom AI-driven metric to improve quality.
- Bugbot's resolution rate increased from 52% to over 70%, and the average number of bugs flagged per run rose from 0.4 to 0.7.
- Early improvements included running multiple bug-finding passes in parallel and using majority voting to filter out false positives.
- Bugbot's production readiness involved foundational systems like a rebuilt Git integration in Rust, rate-limit monitoring, and proxy-based infrastructure.
- The resolution rate metric was introduced to quantitatively assess Bugbot's performance by determining which bugs were actually resolved by the author.
- Switching to a fully agentic design led to significant gains, allowing Bugbot to reason over diffs and call tools dynamically.
- Bugbot now reviews over two million PRs monthly for customers and is used internally at Cursor.
- Future enhancements include Bugbot Autofix, running code to verify bug reports, and continuous codebase scanning.
- Key contributors to Bugbot's development include Lee Danilek, Vincent Marti, and others.