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
- Codex tip: use Sol with Astra and Luna sub-agents to save usage — pvncher · 2026-09-11
- agents-best-practices: a provider-neutral Agent Skill for designing and auditing agentic harnesses — tom_doerr · 2026-09-11
- Cognition's SWE-2 uses a KKT duality argument in RL to shift the effort Pareto curve — YouJiacheng · 2026-09-11
- First-ever Three.js Conference lands in Paris, with a panel on AI-shortened design workflows — OdinLovis · 2026-09-11
- Data engineering, not agent frameworks, is the real bottleneck for enterprise AI agents — dhruv2038 · 2026-09-11
- RTK Terminal Compression Cuts Tokens but Leaves Your AI Coding Bill Unchanged — Bartaseth · 2026-09-11