Warp builds self-improving code review agents on Claude
dotey · x · 2026-08-29
Warp shared their practice of building self-improving agents on Claude, focusing on solving the lack of memory and project context in agents.
Challenges
- Initial attempts at automated Code Review were poor because the model lacked knowledge of project specifics, team norms, and historical lessons.
- Remedial measures (e.g., manual prompt tuning, updating AGENTS.md) were high-effort and failed to utilize valuable human feedback in PRs.
Solution
- Two skills were implemented: a Base Skill for reviewing code and an Improvement Skill.
- The Improvement Skill collects human feedback (comments on the agent's review) and updates the Base Skill accordingly.
Key Insights
- The improvement relies on human annotations rather than model self-reflection.
- The process has very low friction, requiring engineers to just leave natural comments while reviewing.
Related event: Warp Builds Self-Improving Code Review Agent on Claude(2 posts)→
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