Using AI Agents to Uncover Blind Spots in Code Tests
dhruv2038 · x · 2026-07-18
When developing new features, a dev team fed existing MIT-licensed editor test suites (like Codemirror, Monaco, etc.) to an AI agent to find behavioral coverage blind spots across roughly 6,000 tests.
After running autonomously for about 14 hours, the agent successfully added 195 new test cases. Of these, 30 revealed actual logic flaws in the code, affecting core modules like selection management, whitespace folding, search, and history, ultimately bringing the project's total test count to 1,281.
More from coding & agent
- Soft Clamp cuts tool-call overuse in multi-teacher distillation, from 13.7% to 9.0% — antgroup · 2026-07-21
- SpecJudge runs locally on Ollama to pick the right-sized AI model for your project — jokiruiz · 2026-07-21
- A developer maps out six design rules for CLIs that humans and AI agents can both use — yujiezha · 2026-07-21
- A coding-agent skill that forces ADHD-friendly, answer-first output — ayghri · 2026-07-21
- A set of agent skills for CAD, robotics, and hardware design — earthtojake · 2026-07-21
- Outlines keeps LLMs on-rails with structured outputs — dottxt-ai · 2026-07-21