What is a Code Review? - Definition & Meaning
A code review is the process where a fellow developer evaluates another's code for quality, correctness, and style. Learn how code reviews work.
Definition
A code review is the systematic process where one or more fellow developers evaluate a team member's source code before it is merged into the main branch. The goal is to find bugs, improve code quality, and share knowledge within the team.
Technical Explanation
Code reviews typically take place via pull requests in version control systems like GitHub, GitLab, or Bitbucket. Reviewers assess the code for correctness, readability, performance, security risks, and adherence to coding standards. Automated tools (linters, SAST scanners) serve as a first filter. Best practices include limiting PR size (fewer than 400 lines), providing constructive feedback, and focusing on the code rather than the person. Review turnaround time is an important metric: long review times slow down the development cycle.
How Refront Uses This
Refront integrates with GitHub and other version control systems to link code reviews to tickets. When an AI agent proposes a code change through the Cursor MCP integration, a pull request is automatically created for the team to review. The time spent reviewing is automatically logged in the time tracking system.
Examples
- •A senior developer reviews a pull request and discovers a potential security issue in the authentication logic.
- •The team has a rule that every PR needs at least two approvals before it can be merged.
- •During the code review, a junior developer learns a more efficient way to write database queries.
Related Terms
Frequently Asked Questions
Why are code reviews important?
Code reviews improve code quality, catch bugs early, promote knowledge sharing within the team, and ensure consistent coding standards. They are one of the most effective methods to increase software quality.
How long should a code review take?
A code review should ideally be completed within 24 hours. Reviews of more than 400 lines of code lose effectiveness. Split large changes into smaller pull requests for better results.
Can AI be used for code reviews?
Yes, AI tools can automatically scan code for common errors, style issues, and security risks. They don't fully replace human review but serve as a valuable first filter that helps reviewers focus on more complex aspects.
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