Audit AI pull requests for hidden test failures
Swarm Orchestrator flags the shortcuts AI agents take to fake passing tests—weakened assertions, swallowed errors, incomplete renames—that standard linters miss entirely.
June 9, 2026
Summary
Linters like Semgrep and ESLint catch risky APIs but miss the specific failure modes of AI-generated code: edited tests that still pass, catch blocks that hide errors, half-finished refactors. This closes that gap during code review at volume.
Why it matters
Linters like Semgrep and ESLint catch risky APIs but miss the specific failure modes of AI-generated code: edited tests that still pass, catch blocks that hide errors, half-finished refactors. This closes that gap during code review at volume.
Implementation verdict
Replaces manual inspection of AI PRs for test integrity; requires TypeScript/Node 20, runs offline with no model credentials. The 84% detection rate on planted defects is solid, but structural checks throw false positives—findings are advisory by default. Ready to deploy as a review signal now; merge-blocking mode requires stronger evidence.
Sources
- 1.caught 253 of 300, or 84 percent
- 2.on real merged Cloudflare pull requests, that pair of analyzers produced one finding. The auditor flagged 67
- 3.Errors caught and ignored, Renames left unfinished, Test coverage reduced, Tests weakened, Assertions removed
- 4.running code is louder than reading a diff: it averages about 3.4 findings on a clean pull request
- 5.only if every obligation passes and the falsifier can't break it
Dev Signal
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100+ sources compressed into one 4-minute read. Ranked, cited, implementation-ready.