self-review

Automated code review and fixing is orchestrated by delegating code analysis, finding triage, and implementation to AI agents. The system identifies issues, triages them, applies fixes, and commits changes in a loop until all issues are resolved.

An automated code review loop works by using sub-agents to validate findings and implement fixes via Codex CLI. It continuously cycles through review, triage, fix, and commit stages to ensure code quality and adherence to project rules.

Yes, Codex CLI is required for sub-agents to implement fixes during the automated code analysis and fixing process. It enables the AI agents to apply code changes and commit them automatically.

The best way to ensure code quality without manual intervention is an end-to-end orchestration of review and fixing sub-agents. This approach manages multiple agents to achieve zero findings by automating the triage and fixing workflow.

Yes, you can use AI agents to triage code review findings and commit fixes automatically. Sub-agents validate the identified issues, implement the necessary code changes, and commit them until all findings are resolved.

You should avoid using an automated code review and fix loop if your project requires manual oversight for complex architectural decisions or if your codebase lacks clear project rules for the AI agents to enforce during the triage and fixing stages.