bug detection

An overview of how AI augments code quality checks: from ML-driven static analysis and bug detection to security scanning, code smell identification, and auto-fixes. It explains integrating AI reviewers into CI/CD, generating tests, and prioritizing issues. The article weighs accuracy, bias, and false positives, stressing developer oversight, data privacy, and pragmatic best practices.