Bugbot now self-improves with learned rules

Bugbot, an AI code review tool launched out of beta in July 2025, has demonstrated a significant improvement in bug resolution rates, achieving a resolution rate nearing 80% compared to other AI code review products. Initially relying on offline experiments for enhancements, Bugbot now leverages real-time feedback from its reviews to create learned rules that improve its performance. These learned rules are developed by analyzing developer reactions, replies to Bugbot’s comments, and human reviewer comments, with the ability to promote or disable rules based on their effectiveness. Since the introduction of learned rules, over 110,000 repositories have enabled this feature, resulting in more than 44,000 rules being generated. Bugbot's new capability allows it to continuously evolve by integrating feedback from natural experiments during code review processes, aiming to catch real bugs with a deeper understanding of unique codebases and team priorities. Users can manage Bugbot's learning process through the Cursor Dashboard, enhancing the tool's adaptability and effectiveness in code review tasks.

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