Automated Code Review
The use of automated tools to analyze code and provide feedback without manual human intervention, typically integrated into CI/CD pipelines.
Definition
Automated code review encompasses a spectrum of tools: linters (style checking), static analyzers (bug detection), security scanners (vulnerability detection), and AI-powered reviewers (contextual analysis). Automation can handle repetitive checks, freeing human reviewers to focus on design decisions and business logic. The best results come from combining automated tools with human review.
Pourquoi c'est important
Automated review catches issues in minutes rather than waiting hours or days for human reviewers. It provides consistent enforcement of standards and never gets tired or distracted. Google found that automated checks catch 50% of issues before human review begins, making human review time more productive.
Exemple
Every PR automatically runs ESLint for style, TypeScript for type errors, diffray for bugs and security, and Lighthouse for performance — blocking merge until all checks pass.