Code Review in the Age of AI: Best Practices for Reviewing AI-Generated Code

AI-generated code requires a multi-layered review approach to ensure reliability and security. Automated checks, security scans, and targeted human review are essential components of this process, treating AI-generated code as a draft that demands careful verification. For instance, integrating security scans helps identify vulnerabilities that might not be apparent in initial automated checks. ### Breakdown of Contents - Core Claim: AI-generated code needs thorough review processes. - Review Methodology: - Automated checks to catch basic errors. - Security scans to uncover potential vulnerabilities. - Focused human review to validate complex logic and ensure quality. - Concept of AI Code as Draft: Treat AI-generated outputs as preliminary work that requires human oversight. - Best Practices: Implement a structured review process combining technology and human expertise. - Link for Further Reading: Code Review in the Age of AI