> ## 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.
# CodeRabbit Agent for Slack
> Bring AI-powered investigation, planning, and code editing into your Slack workspace: with shared context, persistent knowledge, and governed access.
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
{children ?? defaults.content}
;
};
export const EarlyAccessBadge = ({tip = "This feature is in early access. Enable it by setting `early_access: true` in your `.coderabbit.yaml`, or by toggling Early Access on the web interface.", title = "Early Access", cta = "View configuration", href = "/reference/configuration#param-early-access", disabled = false}) => {
return
{title}
;
};
CodeRabbit Agent is an AI agent for **your entire SDLC** right in Slack:
* **Investigate** — Ask questions about your codebase, trace features, and cross-reference Sentry errors with merged PRs and Jira issues, all in natural language.
* **Plan** — Generate structured Coding Plans from any Slack thread and hand them off to Claude Code, Codex, Cursor, or any coding agent.
* **Act** — Discuss requirements with your team, reference Linear issues or Figma drafts, then ask CodeRabbit to open a pull request incorporating everything.
CodeRabbit Agent responds to `@coderabbit` mentions in channels and threads, and to direct messages — no special syntax required. Every response runs within the , so the Agent only sees the repositories and connections your admins have approved for a specific channel. Context carries over between messages, a persistent retains what your team discovers, and every conversation can be reviewed after the fact.
Control which repositories, connections, and settings are available per
channel or DM.
Integrate with Jira, Linear, Notion, Sentry, Datadog, PagerDuty, Figma,
Google Drive, MCP servers, and more.
Save scheduled or message-triggered work — vulnerability checks, weekly
summaries, alert triage, and periodic audits — that post results into Slack
threads.
Shared environments where CodeRabbit Agent works on code changes and prepares
pull requests.
Persistent, team-wide store of facts and decisions that enriches every
conversation.
Web-based inspection of any CodeRabbit Agent conversation, with full context and
citations.
## What's next
Full documentation covering capabilities, administration, security, and day-to-day usage.
The system behind every Coding Plan, review comment, and CodeRabbit Agent response.