code-review-standards

To standardize code review severity levels, categorize findings into CRITICAL, HIGH, MEDIUM, and LOW tiers. This severity taxonomy filters subjective style preferences and isolates actual production risks, ensuring reviewers focus only on high-integrity, actionable feedback.

An adversarial code review rubric is a structured protocol that forces rigorous, risk-focused software evaluation. You need it to eliminate inconsistent, superficial code reviews and prevent critical defects from reaching production through strict APPROVE, WARN, or BLOCK verdicts.

Apply a verdict protocol to a software diff by evaluating the changes against a structured severity taxonomy, then issuing an APPROVE, WARN, or BLOCK verdict. This quality gate ensures diffs with critical defects fail automatically before deployment.

Reduce noise during code reviews by implementing an 80% confidence filter. This threshold requires reviewers to have high certainty in a finding before flagging it, preventing speculative feedback and ensuring only actionable production risks are reported.

The best way to automate objective code reviews is using a code-critic agent workflow with an adversarial rubric. This enforces a strict severity taxonomy and verdict logic, filtering out subjective style preferences to focus exclusively on production-critical risks.

The limitation of an 80% confidence threshold for code analysis is that highly speculative but potentially critical edge-case vulnerabilities might be filtered out. This constraint reduces noise but requires strict adherence to ensure no uncertain yet severe production risks are missed.