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Automated Code Review

Automated Code Review refers to the use of software tools and systems to automatically analyze source code for issues such as bugs, security vulnerabilities, style violations, and performance problems without human intervention. It integrates into development workflows, typically through CI/CD pipelines or IDE plugins, to provide immediate feedback to developers. These tools help maintain code quality, enforce coding standards, and catch errors early in the development process.

Also known as: Static Code Analysis, Code Linting, Automated Code Analysis, Code Quality Tools, Static Application Security Testing (SAST)
🧊Why learn Automated Code Review?

Developers should use automated code review to improve code reliability, reduce technical debt, and accelerate development cycles by catching issues before code is merged or deployed. It is essential in large teams or fast-paced environments where manual reviews are time-consuming, and it helps enforce consistency across codebases, such as in open-source projects or enterprise applications. Specific use cases include integrating with pull requests in GitHub/GitLab, running in CI/CD pipelines for continuous feedback, and supporting code quality initiatives in agile or DevOps practices.

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