AI code review agent
CodePress reviews the architecture and implementation, verifies findings, sends actionable feedback back to the working agent, and keeps the repair loop moving before a human has to decide.
As AI increases code output, review becomes the bottleneck. CodePress treats review as an active feedback loop—not a comment that waits for an engineer to restart the work.
Context
The reviewer examines the pull request with repository rules, architecture, neighboring code, and the intended task—not only the lines that changed.
Remediation
When review finds a real issue, CodePress returns it to the agent that owns the task. The agent repairs the branch, updates the PR, and requests another judgment.
Verification
A ready-to-merge judge checks whether the relevant QA actually happened and whether the latest code satisfies the completion criteria. It can overturn an optimistic agent verdict.
Adoption
Install AI code review on existing pull requests, or connect it to autonomous software engineering so implementation, QA, review, and repair become one continuous workflow.
Common questions
It removes repetitive first-pass investigation and remediation. Engineers still own architecture, risk decisions, and the final merge.
Yes. The review workflow is designed for both human- and agent-authored pull requests and can send findings back into an autonomous repair loop.
Findings are treated as evidence to verify, not unquestionable truth. The workflow can use specialized review and QA passes, while the human retains the final decision.