Metis is an open-source tool developed by Arm to enhance security code reviews using AI. It leverages large language models for semantic understanding, making it effective in identifying vulnerabilities in complex codebases. The tool is extensible and supports multiple programming languages.

This article explains how AI is changing the code review process, emphasizing the need for evidence of code functionality rather than just relying on AI-generated outputs. It contrasts solo developers’ fast-paced workflows with team dynamics, where human judgment remains essential for quality and security. The piece outlines best practices for integrating AI into development and review processes.

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.

The article discusses the integration of Claude, an AI system developed by Anthropic, to automate security reviews in software development. By leveraging Claude's capabilities, teams can enhance their security processes, reduce manual effort, and improve overall code quality. This innovation aims to streamline security practices in the tech industry.