Developer builds AI code reviewer designed to stay silent unless it finds a real issue

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A developer grew frustrated with AI code review tools that generated excessive, low-value feedback and built their own alternative with a strict silence-first philosophy. The tool uses a GitHub webhook pipeline that fetches diffs, passes them to Claude, and then ranks findings by severity — BUG, WARN, NIT, or PRAISE — before posting only the highest-priority inline comments. A hard cap limits the number of comments shown, and any suppressed remarks are disclosed with a count rather than dropped silently. The build surfaced several real-world engineering challenges, including a webhook timeout issue fixed by returning HTTP 200 immediately and processing reviews asynchronously with an explicit execution time ceiling. A billing bug was also uncovered when Stripe's cancel_at_period_end flag proved unreliable, requiring the system to track the cancel_at timestamp instead.

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