review

To get an AI code review for staged changes, you provide staged diff summaries, key files, and stated intent. The MiniMax agent analyzes this context to identify potential bugs and design flaws, ensuring higher code quality before a merge.

The best way to identify risk areas in recent file changes is to use an AI reviewer specifically prompted to act as a devil's advocate. It assesses your work summaries and file changes to call out potential issues and design flaws.

Yes, you can use an AI reviewer to build consensus on a code review. The process supports up to three rounds of back-and-forth interaction with the MiniMax agent, allowing you to resolve flagged risks and reach an agreement on code changes.

AI-assisted code review works by gathering recent messages, file changes, and work summaries to provide a comprehensive assessment. This contextual analysis allows the AI reviewer to understand your stated intent and evaluate the diff accurately.

A limitation of using an AI agent for development workflow risk assessment is that it is restricted to three rounds of back-and-forth interaction. The review relies entirely on your provided diff summaries and stated intent, requiring clear input to be effective.