AI Code Review
Review, fix, and improve code with DeepCode
Use AI code review to catch bugs, explain risky changes, suggest tests, and improve code quality before the human review starts.
Start with $1 credit.
AI code review snapshot
Review code before it reaches production
AI code review is most useful before the main reviewer spends time on a pull request. DeepCode can summarize the change, identify likely defects, suggest missing tests, and point reviewers to the highest-risk files.
DeepSeek's DeepCode integration docs explain the coding-agent workflow, while DeepSeek Coder provides model-family context. For broader tool selection, use the AI Code Review Tools page.
Paste, review, patch, verify
Use a tight review loop instead of a long report.
Paste. Add the changed code, relevant files, logs, or test failures.
Review. Ask DeepCode for issues grouped by severity and confidence.
Patch. Apply only changes that match your architecture and tests.
Verify. Run tests, linting, and human review before merge.
AI code review checks to run
Logic bugs
Branches, null paths, edge cases, and bad assumptions
Security risks
Secrets, injection, auth, unsafe input, and data exposure
Test gaps
Missing regression, integration, and boundary tests
API contracts
Breaking changes in request, response, and schema behavior
Performance issues
Extra queries, slow loops, memory use, and blocking calls
Refactor safety
Separation between cleanup and behavior changes
Documentation gaps
Missing comments for public interfaces and complex logic
Reviewer summary
Clear notes for the human reviewer
Use DeepCode as a review assistant
DeepCode should accelerate AI code review, not replace engineering judgment. Ask for concrete findings, expected impact, and tests that would prove the fix. Reject vague suggestions and keep final approval with the team.
For automated workflows, log PR ID, commit SHA, prompt template, model route, findings, author response, reviewer override, and merge outcome.
Trust and source note
DeepSeek DeepCode integration docs describe the DeepCode workflow. Use that source for orientation, then test AI code review on your own repositories.
AI code review FAQ
Start AI code review with DeepCode
Open the playground for a quick review pass, then connect API access when your team needs repeatable checks.
Start with $1 credit.