This article discusses how AI is changing the code review process for both solo developers and teams. It emphasizes the need for evidence of working code, highlights the risks of relying too heavily on AI, and outlines best practices for integrating AI into code reviews while maintaining human oversight.

Codacy introduces a hybrid code review engine that enhances Pull Request feedback by identifying logic gaps, security issues, and code complexity. It automates the review process, letting developers ship code faster and with more confidence.

An AI-powered tool, sqlmap-ai, enhances SQL injection testing by automating processes such as result analysis and providing step-by-step suggestions tailored to specific database management systems. It supports various AI providers and features adaptive testing, making it user-friendly for both experts and newcomers in cybersecurity.