How Warp builds self-improving agents on Claude
dotey · x · 2026-08-29
Warp shares their experience building self-improving agents on Claude. Initial attempts at AI Code Review failed due to a lack of project context, team norms, and historical memory. Manual fixes like tweaking system prompts or maintaining AGENTS.md were costly and ineffective.
The Solution:
- Base Skill: Performs the code review.
- Improve Skill: Periodically collects human comments from PRs (specifically corrections to the Agent's output) and uses them to update the review Skill automatically.
This approach relies on human feedback loops rather than model self-improvement. The key advantage is extremely low friction: engineers just leave comments naturally, and the Agent handles the rest of the optimization process.
Related event: Warp Builds Self-Improving Code Review Agent on Claude(2 posts)→
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