> ## Documentation Index
> Fetch the complete documentation index at: https://docs.coderabbit.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# The System Behind Every Review Comment

> CodeRabbit Architecture | How CodeRabbit works internally

export const Hint = ({type, children, headline, tip, href, cta}) => {
  const TIPS = {
    learnings: {
      headline: "Learnings",
      tip: "Review preferences CodeRabbit learns from your chat conversations and applies automatically to future reviews.",
      cta: "Learn about Learnings",
      href: "/knowledge-base/learnings",
      content: "Learnings"
    },
    walkthrough: {
      headline: "PR Walkthrough",
      tip: "A structured comment posted by CodeRabbit at the top of every pull request, summarizing changes, sequence diagrams, review effort, and more.",
      cta: "Learn about PR Walkthroughs",
      href: "/pr-reviews/walkthroughs",
      content: "Walkthrough"
    },
    "finishing-touches": {
      headline: "Finishing Touches",
      tip: "Post-review agentic actions (Autofix, writing docstrings or unit tests, and more) you trigger from a PR comment or a checkbox in the Walkthrough.",
      cta: "See all Finishing Touches",
      href: "/finishing-touches",
      content: "Finishing Touches"
    },
    "coding-plan": {
      headline: "Coding Plan",
      tip: "A detailed, codebase-aware implementation plan CodeRabbit generates from an issue or description, ready to hand off to any coding agent.",
      cta: "Learn about Coding Plans",
      href: "/plan",
      content: "Coding Plan"
    },
    "knowledge-base": {
      headline: "Knowledge Base",
      tip: "The collected context sources CodeRabbit draws on during reviews: Learnings, Code Guidelines, issue trackers, connected MCP servers, and cross-repo analysis.",
      cta: "Explore the Knowledge Base",
      href: "/knowledge-base",
      content: "Knowledge Base"
    },
    "path-instructions": {
      headline: "Path Instructions",
      tip: "Custom review rules that only apply to files matching a glob pattern, e.g. 'src/controllers/**'.",
      cta: "Configure path instructions",
      href: "/configuration/path-instructions",
      content: "Path Instructions"
    },
    scope: {
      headline: "Scope",
      tip: "A named set of repositories, connections, and spend limits that controls what CodeRabbit Agent can access in a given Slack conversation.",
      cta: "Learn about Scopes",
      href: "/slack-agent/scopes",
      content: "Scope"
    }
  };
  const defaults = TIPS[type] || ({});
  return <Tooltip headline={headline ?? defaults.headline} tip={tip ?? defaults.tip} cta={cta ?? defaults.cta} href={href ?? defaults.href}>
      {children ?? defaults.content}
    </Tooltip>;
};

While other tools just scan your changed code, CodeRabbit **orchestrates an entire system** for every single review. This isn't a simple "review this changeset" prompt to an LLM. It's a **production-grade AI infrastructure** designed for one purpose: understanding your code at the deepest level possible.

<Frame caption="CodeRabbit Architecture">
  <img src="https://mintcdn.com/coderabbit/JDF48eE9RUTOwhLY/images/assets/images/architecture.png?fit=max&auto=format&n=JDF48eE9RUTOwhLY&q=85&s=b962fbb736c591ed9f7ba3adfe2cdcb9" alt="CodeRabbit Architecture" width="1902" height="912" data-path="images/assets/images/architecture.png" />
</Frame>

Behind each comment lies:

* **Sandboxed cloud execution** with your full repository cloned for isolated analysis
* **Multi-dimensional code analysis** combining 40+ static analyzers, linters and SAST tools
* **Agentic exploration** that autonomously investigates your codebase for context
* **Specialized AI agents** working in parallel: Review, Verification, Chat, Pre-Merge Checks, and <Hint type="finishing-touches" />
* **Living memory** that learns from your feedback, PRs, issues, and coding guidelines
* **Enterprise integrations** connecting your entire development workflow

**That's why CodeRabbit doesn't just review code, it understands it.**