Developing Bugbot: Using AI-Driven Metrics to Systematically Improve Code Review Automation
By
onurkanbkrc
Fresh out the oven, still warm. Top of the tray.
Summary
The article describes the development and improvement of Bugbot, an AI-powered code review agent that analyzes pull requests for logic bugs, performance issues, and security vulnerabilities. The team used a custom AI-driven metric to systematically improve Bugbot's quality through 40 major experiments, moving from qualitative assessments to a more systematic approach. The tool was so effective internally that the company decided to release it to external users.
Key quotes
· 4 pulledTo solve this, we built Bugbot, a code review agent that analyzes pull requests for logic bugs, performance issues, and security vulnerabilities before they reach production.
The process of building Bugbot began with qualitative assessments and gradually evolved into a more systematic approach, using a custom AI-driven metric to hill-climb on quality.
Since launch, we have run 40 major experiments that have increased Bugbot's reso
By last summer, it was working so well that we decided to release it to users.
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