Security
Access control, input validation, sensitive data handling, and risky data flow changes.
Quality checks
Reduzer AI reviews pull requests for security, code quality, and UI/UX risk. Humans decide what matters, engineers fix it, and QA verifies what should be checked before handoff.
The quality path is a handoff gate: review signal, human decision, fix, QA note, then client inspection.
What gets checked
The review focuses on issues that can affect security, maintainability, user experience, or release confidence.
Access control, input validation, sensitive data handling, and risky data flow changes.
Logic errors, edge cases, error handling, performance risks, and maintainability issues.
Responsive behavior, empty states, accessibility, component consistency, and user-flow breaks.
Regression notes, staging context, test steps, known limits, and what needs client inspection.
When review finds an issue
Reduzer turns review findings into a clear path: judge the risk, return the fix, verify where relevant, and prepare the work for client inspection.
Reduzer AI checks the pull request against enabled security, quality, and UX rules.
A human reviewer separates real risk from review noise
The engineer resolves the issue with the context attached to the task or PR.
Relevant fixes are verified in staging or regression notes before handoff.
You receive the staging link, test steps, QA note, and remaining context.
Proof artifact
The release readiness record shows what was reviewed, who fixed it, whether QA passed, and what you need to inspect.