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Launches three contrarian reviews to catch risks before critical AI code changes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "tenth-man-mcp" yet — see the docs or source repo.
Use tenth-man-mcp to review this authentication module refactor. Spawn three independent contrarian reviewers to identify the most likely failure points from security, rollback risk, and edge-case perspectives, and provide criteria for blocking release.
Three independent contrarian review reports highlighting key risks, failure scenarios, and whether the change should be blocked.
Here are the database migration and backend changes an AI agent is about to execute. Use tenth-man-mcp for an adversarial pre-deployment review, focusing on data loss, breaking compatibility, and monitoring gaps, then list required validation steps.
A deployment-risk review with prioritized issues and recommended validation and monitoring actions.
An AI has proposed a patch for a production incident. Use tenth-man-mcp to have three contrarian reviewers challenge it from root-cause mismatch, hidden side effects, and insufficient test coverage perspectives, then summarize whether it should be executed immediately.
An adversarial patch assessment covering objections, needed evidence, and the minimum testing threshold before execution.
Automatically review GitHub PRs with efficient, deep analysis using static checks and LAG.
Get intelligent, context-aware code reviews and improvement suggestions with MCP.
Independently reviews test cases and bug findings, returning a reconciliation delta.
Runs dual-model code reviews and synthesizes one unified report.
Get a read-only second review pass on Git changes for better code quality.
Coordinate specialized AI agents for software development, review, testing, and task tracking.