Who should use the Automate code reviews workflow?
Teams or solo builders working on development tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
4-step pipeline — follow each step in order
1Setup · Step 1 of 4
Open task pageAutomate code refactoring
Run automated refactoring to clean up code structure and remove technical debt before review, ensuring the codebase is in a consistent state for the automated review tool.
Why this matters
Refactoring beforehand reduces noise in review results and focuses the reviewer on logical issues rather than formatting or style inconsistencies.
What you get
Code is clean, standardized, and ready for automated review without unnecessary distractions.
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2Input · Step 2 of 4
Open task pageCore: Automate code reviews
Execute automated code review using static analysis and linting tools to catch bugs, enforce coding standards, and identify potential improvements across the codebase.
Why this matters
This is the central step that directly performs the automated review, providing actionable feedback for developers.
What you get
Automated review completed with a list of issues and suggestions for improvement.
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3Refine · Step 3 of 4
Open task pageDocumentation: Generate code documentation
Generate documentation for the reviewed code changes, including updated API docs, inline comments, and changelogs to ensure clarity for future developers.
Why this matters
Documentation ensures that the rationale behind changes is captured and easily understood by the team, maintaining code quality over time.
What you get
Comprehensive documentation for the reviewed code is generated and linked to the review output.
4Deliver · Step 4 of 4
Open task pageFixing: Debug code
Address issues identified in the automated review by debugging and fixing code errors, warnings, and potential vulnerabilities to finalize the codebase.
Why this matters
Fixing issues discovered during review is essential to actually improve code quality and close the feedback loop.
What you get
All critical and major issues from the review are resolved, resulting in a cleaner, more robust codebase.
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