Test coverage percentage is a poor predictor of production reliability. Here are the indicators (Change Failure Rate, Review Depth Score, and rework rate) that actually tell you whether your codebase is healthy.
Static analysis and generic AI reviewers miss hallucinated APIs, framework mismatches, and architectural drift. Context-aware review catches what linters cannot.
Traditional code review fails for AI-generated code. Here's the practical governance framework that catches vulnerabilities, manages technical debt, and passes compliance audits.
Strong teams enforce code quality through a three-layer automation stack, not process overhead. Here is how to catch defects before review without slowing delivery.
