Don't just review the agent's code — put it through the gauntlet.
Agent Gauntlet is a configurable “feedback loop” runner for AI-assisted development workflows.
You configure which paths in your repo should trigger which validations — shell commands like tests and linters, plus AI-powered local code reviews. When files change, Gauntlet automatically runs the relevant validations and reports results.
For AI reviews, it uses the CLI tool of your choice: Gemini, Codex, Claude Code, GitHub Copilot, or Cursor.
- Agent validation loop: Keep your coding agent on track with automated feedback loops. Detect problems — deterministically and/or non-deterministically — and let your agent fix and Gauntlet verify.
- Local cross-agent code reviews: Enable one AI agent to automatically request code reviews from another. For example, if Claude made changes, Gauntlet can request a review from Codex — spreading token usage across your subscriptions instead of burning through one.
- Multiple AI review adapters have been evaluated for quality and efficiency. Claude and Codex deliver optimal review quality with superior token efficiency. For detailed metrics, see Eval Results.
- Leverage existing subscriptions: Agent Gauntlet is free and tool-agnostic, leveraging the AI CLI tools you already have installed.
- Easy CI setup: Define your CI gates once, run them locally and in GitHub.
Agent Gauntlet supports three workflows, ranging from simple CLI execution to fully autonomous agentic integration:
- CLI Mode — Run checks via command line; ideal for CI pipelines and scripts.
- Assistant Mode — AI assistant runs validation loop, fixing issues iteratively.
- Agentic Mode — Autonomous agent validates and fixes in real-time via stop hook (experimental).
- Claude implements a feature
- Agent Gauntlet reports quality issues detected by static code analysis and Codex reviewer agent
- Claude fixes issues
- Agent Gauntlet verifies
Agent Gauntlet is not a replacement for tools that provide AI pull request code reviews. It provides real-time feedback loops for autonomous coding agents, combining deterministic static checks (build, lint, test) with multi-agent AI reviews in a single pipeline. This enables agents to iterate and self-correct until all checks and reviews pass, without human intervention.
It is recommended to use Agent Gauntlet in conjunction with other spec-driven development tools. We believe is the ideal implementation of the validation step in any Spec → Implement → Validate workflow.
For basic usage and configuration guide, see the Quick Start Guide.
- Quick Start Guide — installation, basic usage, and config layout
- User Guide — full usage details
- Configuration Reference — all configuration fields + defaults
- Stop Hook Guide — integrate with Claude Code's stop hook (experimental).
- CLI Invocation Details — how we securely invoke AI CLIs
- Feature Comparison — how Agent Gauntlet compares to other tools
- Development Guide — how to build and develop this project