Dev.to
7/10/2026

An Agent That Hunts Bugs in My App While I Sleep
Short summary
A developer built two AI agents that autonomously test a desktop app every hour via Playwright over CDP. The hunter agent explores the real signed-in app, classifies findings by confidence level, and files GitHub issues only for high-confidence reproducible bugs. A second agent reproduces, patches, and opens pull requests—catching subtle UX issues like stuck loading states and silent save failures that traditional tests miss.
- •Two-agent system: a hunter explores the app hourly and files high-confidence bug reports as GitHub issues
- •A fixer agent reproduces bugs, patches them, and opens PRs with before/after proof
- •Key insight: getting an agent to find bugs is easy; getting it to be honest about findings is the real challenge
Generated with AI, which can make mistakes.
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