AI Code Review Tools for Pull Request Workflows
Review pull requests for defects, security risks, tests, and maintainability while developers retain merge authority.
Examines a selected code diff with available tests and approved scanner results, then prepares line-linked findings for an engineer to verify before merge.
- Read the change and repository context
- Run the configured checks
- Assess defects, risks, and test gaps
Start with one repository and review class whose code access, branch protections, test evidence, and responsible reviewer are already defined.
What this workflow does
Review pull requests for defects, security risks, tests, and maintainability while developers retain merge authority.
Start with one repository and a well-understood pull-request type, then define the coding standard, test evidence, reviewer, and merge condition. Keep security findings, architecture changes, production-impacting code, exception approval, and the final merge decision with qualified engineers.
How the workflow runs
Read the change and repository context
Load the pull-request diff, relevant files, review rules, test results, and available repository context.
Run the configured checks
Use the approved linters, scanners, and project rules, and distinguish tool output from model-generated observations.
Assess defects, risks, and test gaps
Look for plausible logic errors, security concerns, regressions, maintainability issues, and missing tests within the available scope.
Prepare prioritized findings
Cite the affected code, explain the reasoning and uncertainty, and suggest a concrete next check or change.
Let engineers decide and record the outcome
Qualified engineers verify findings, resolve disagreements, approve exceptions, and retain merge authority.
Controls to define before launch
| Control area | What the agent handles | What the team controls |
|---|---|---|
| Metrics | Tracks accepted findings, false positives, missed issues found later, and time to first review. | Reviews correction patterns by repository, language, rule set, and risk class. |
| Review | Prepares line-linked findings from the selected diff, tests, and approved scanner output. | Keeps security, architecture, production impact, exceptions, and merge decisions with qualified engineers. |
| Exceptions | Marks the review incomplete when the diff, tests, generated-code boundaries, or scanner results are missing or contradictory. | Assigns security-sensitive or ambiguous findings to the appropriate code owner. |
| Evidence | Records the commit, changed lines, rule or scanner source, finding rationale, and confidence note. | Retains reviewer edits, dispositions, waivers, and the final merge or remediation decision. |
| Recovery | Never reports a clean review when a repository or scanner connection fails; it identifies the uncovered checks. | Restores the failed check, requires manual review where coverage was lost, and reruns against the same commit. |
What to do before and after the pilot
Before launch
Before launch, start with one repository and a well-understood pull-request type, then define the coding standard, test evidence, reviewer, and merge condition.
After launch
After launch, measure accepted findings, false positives, missed issues found later, and time to first review, segmented by repository and risk class.
Connect this workflow with OpenMax
Use OpenMax to organize first-pass review evidence and suggested fixes without replacing security, architecture, or merge decisions.
Frequently asked questions
Where should a pilot of AI code-review tools begin?
Start with one repository and a well-understood pull-request type, then define the coding standard, test evidence, reviewer, and merge condition.
Which decisions must remain with people?
Keep security findings, architecture changes, production-impacting code, exception approval, and the final merge decision with qualified engineers.
How should the pilot be evaluated?
Measure accepted findings, false positives, missed issues found later, and time to first review, segmented by repository and risk class.
