codex

To get a second opinion on code changes, use the review mode to independently evaluate your diffs and return a pass/fail gate verdict. It automatically detects project changes to trigger the workflow.

Adversarial code review is a challenge mode that attempts to break your code by identifying vulnerabilities and weaknesses. It returns raw reasoning traces and gate verdicts indicating whether the code survived the adversarial test.

Yes, you can ask follow-up questions during a code review session using the consult mode. This mode provides session continuity, allowing you to query anything about your code while maintaining context.

Yes, the Codex CLI wrapper supports automatic diff detection by identifying the requested operation against current project changes. It automatically detects diffs and plan files to offer the most relevant workflow.

The best way to integrate AI code review results is to use the raw verbatim output, including reasoning traces, gate verdicts, and token cost estimates. This telemetry-ready data is returned directly for integration into your pipeline.

You should not use an AI assistant for code review if you need modified or summarized outputs instead of raw verbatim traces. The tool returns exact Codex output, including reasoning and cost estimates, without filtering.