Code Review is the systematic examination of code changes by peers to find bugs, ensure quality, and share knowledge.
Code review catches bugs before production, enforces conventions, and spreads codebase knowledge. By 2026, AI-powered review tools (CodeRabbit, GitHub Copilot, Codacy) handle 60%+ of routine feedback (style, simple bugs), letting humans focus on architecture and edge cases. Reviewing remotely-async is the norm for distributed teams.
Code review consistently catches real defects, raises the floor on code quality, and spreads ownership of the codebase. Teams that take it seriously ship more reliable software with less senior-engineer bottleneck.
A senior engineer reviews a junior's PR, notices a subtle race condition in the cache update, suggests a fix, and explains the reasoning. The bug never reaches production, and the junior internalizes a lesson they will apply for years.
Code review is not just bug-catching. Its strongest long-term effect is knowledge transfer — sharing patterns, context and design judgement across the team.
Review for design and clarity, not just syntax; tools catch the easy stuff, while humans add the judgement that makes a codebase pleasant to work in.
Code Review falls under the Engineering category.
These tools put code review into practice. Compare features, pricing, and ratings:
A request to merge code changes from one branch into another, typically reviewed before merging.
Automated software delivery practices that test and deploy code changes continuously.
A system that tracks changes to files over time, enabling collaboration and rollback.
Now that you understand Code Review, explore the best tools in this category.