AI Code Review for Coding Agents

Panel Review is an innovative in-loop panel review service designed for AI coding agents. It enhances the reliability and security of AI-generated code by subjecting critical decisions, such as designs, diffs, and commits, to a rigorous review process involving four frontier AI models from leading providers: OpenAI, Anthropic, Google, and xAI.

• Adversarial Argumentation: The four AI models engage in a debate over the riskiest changes proposed by your coding agent. This process helps uncover disagreements and potential flaws that a single model might miss.
• Structured Verdicts: Following the debate, Panel Review provides a structured verdict that includes severity-tagged findings, an agreement score, and a recommended action (proceed, proceed with caveats, request changes, or escalate to a human).
• Proactive Review Gates: Local review gates are implemented to block the riskiest writes and commits until a human review or an explicit logged override occurs. These gates are designed to be cooperative and fail open, ensuring they do not impede workflow unnecessarily.
• Key Features:
  • Synthesize: A quick, four-model second opinion on bounded, reversible questions.
  • Deliberate: For open design decisions, such as architecture or schema.
  • Audit: Stress-tests drafts like diffs or design documents before they are committed.
• Broad Compatibility: Works with eight certified agent surfaces including Claude Code, Codex CLI, Cursor IDE/CLI, GitHub Copilot CLI, VS Code agent, Gemini CLI, and Google Antigravity. It also offers a git pre-commit fallback gate for other MCP clients.
• Security Focus: Identifies and flags thirteen critical categories of risk, including authentication issues, hardcoded secrets, payment logic, and removed security guards.
• Open Source Client: The client-side components, including gates, risk classifiers, and installers, are MIT-licensed and publicly available for review.
• Easy Setup: Get started in under a minute with a single command: npx @truverifai/init.

Panel Review ensures that only the most robust and well-argued code ships, acting as a crucial guardian for AI's highest-stakes decisions in software development.