Code Review Checklist Template - Free Download & Example

Code reviews are essential for ensuring code quality, sharing knowledge within the team and catching bugs early before they reach production. Without a structured approach however, reviews become inconsistent: one reviewer focuses on naming while another misses security issues entirely. This checklist template offers a structured approach to reviewing pull requests, with clear categories for functionality (does the code do what it should?), code style and readability (is the code understandable for other developers?), security checks (are there vulnerabilities?), performance considerations (are there unnecessary queries or heavy operations?), error handling (are errors properly caught?), test coverage (are there sufficient tests?) and documentation (are changes documented?). By using a consistent checklist you ensure reviews are objective, thorough and efficient regardless of who performs the review. The template is customisable to your tech stack and team agreements. It also includes a section for tracking common review findings per project, so the team recognises patterns and can proactively address them through coding guidelines or automated rules in the linter configuration. The template also includes guidelines for providing constructive feedback that improves the code without undermining team morale, which is essential for a healthy team culture.

Variations

How to use

Step 1: Download the code review checklist and integrate it as a pull request template in your repository on GitHub, GitLab or Bitbucket. Add the checklist as part of the PR template so every pull request automatically includes the checkpoints. Step 2: Start the review by reading the pull request description and understanding the purpose of the change. Check whether the PR description provides sufficient context: what problem does it solve, how was it tested and are there any risks? Step 3: Check functionality: does the code do what the description promises? Are edge cases covered? Are error scenarios handled correctly? Test the change locally if the complexity warrants it. Step 4: Review code style and readability: are variable and function names descriptive? Are functions short and focused on a single task (single responsibility)? Is the code DRY without unnecessary duplication? Does the code fit within existing architectural patterns? Step 5: Walk through security checks: is all user input validated and sanitised? Are there no hardcoded secrets, API keys or passwords? Is authentication and authorisation correctly implemented? Is sensitive data properly encrypted? Step 6: Evaluate performance: are there unnecessary database queries or N+1 problems? Are heavy operations avoided inside loops? Has caching been applied where appropriate? Is the time complexity acceptable for expected data volumes? Step 7: Check test coverage: are there unit tests for new logic, integration tests for API endpoints, edge case tests for boundary conditions and regression tests for existing functionality that may be affected? Step 8: Verify documentation: are public APIs documented, are complex algorithms explained and is the CHANGELOG updated for user-facing changes? Step 9: Provide constructive feedback with concrete suggestions for improvement. Distinguish between blocking comments (must be resolved before merge) and non-blocking comments (suggestions for future improvement). Also highlight positive aspects of the code. Step 10: After the author addresses feedback, re-review the adjustments and give formal approval once everything is in order. Step 11: Maintain an overview of recurring review findings on a quarterly basis. If certain issues repeatedly appear in reviews, discuss with the team whether they can be structurally prevented through a linter rule, code generator or architecture decision. This shifts quality assurance from reactive to preventive. Step 12: Periodically evaluate whether the checklist itself is still current. Technologies and best practices evolve, and your review checklist must grow alongside the tech stack and the maturity of the team. Schedule a brief session every six months to update the checklist based on new insights, incidents and team feedback. Step 11: Add a specific check for accessibility on frontend changes. Verify that new UI components comply with WCAG 2.1 guidelines, that aria labels are correctly applied and that tab navigation works logically for users relying on a keyboard. Step 12: Check whether the change stays within the agreed performance budgets. Measure bundle size for frontend code and response time for backend endpoints to prevent individual pull requests from gradually degrading application performance.

How MG Software can help

At MG Software code review is a fixed part of our development process. Every change is reviewed by at least one team member before it reaches production. Our senior developers bring deep expertise in security, performance and architecture and actively share this through code reviews. We also help teams establish a code review culture: from configuring branch protection rules and automated checks to training team members in giving constructive, valuable feedback that structurally improves code quality. We guide teams in defining team-specific checklists tailored to their tech stack, so reviewers know what to look for when reviewing React components, API endpoints or database migrations. Additionally, we implement automated pre-review gates such as linting, type checking and security scanning via the CI/CD pipeline, so the human reviewer can focus on logic, architecture and design choices where human judgement adds the most value. For teams struggling with long review turnaround times we help set up a review rotation system and establish SLA guidelines that ensure pull requests are reviewed within one business day without compromising review quality.