Developer builds dependency-repair agent, uncovers silent failures in security scanning

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A developer spent a week building an AI agent designed to not only detect vulnerable dependencies but also apply fixes, run tests, and open pull requests — going further than tools like Dependabot. During development, nearly every major bug encountered reported success rather than throwing an error, making them especially hard to detect. A malformed API query to OSV silently returned 124 false positives instead of the correct three advisories, while a manifest-only scanner missed all real vulnerabilities by ignoring the lockfile and transitive dependencies. A separate merging issue caused a high-severity fix to silently disappear when two branches were combined, despite all tests passing on each individual branch. The experience highlighted a consistent pattern: in security tooling, silent failures that produce falsely clean results are far more dangerous than loud errors.

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