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One agent for your entire Software Development Lifecycle. Right in Slack.
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checkout-service p99 latency spiked from 380ms to 12.4s at 02:38 UTC.
POST /api/inventory/reserve to inventory-service.Checked GCP Cloud Run logs for
inventory-service. Instance count dropped from 8 to 1 at 02:35 UTC. Autoscaler shows a config change pushed at 02:34 UTC that set maxInstances to 1. That came from PR #3301 merged earlier tonight. It was supposed to update env vars but accidentally included a Terraform change to the scaling config.
fix: revert inventory-service maxInstances to 12Isolated just the scaling revert. The env var update from #3301 is untouched. Once merged, Cloud Run will scale back up within ~90 seconds.
From the team that pioneered AI code reviews
Trusted by 15,000+ engineering teams worldwide.
Engineering decisions happen in conversation. Blockers surface in Slack. Context gets lost in threads. Your AI should be part of the team — not a separate tool someone has to remember to check.
Connect your stack,
get answers in Slack
The agent reaches into your tools — Jira, Sentry, Linear, Datadog and more — to fetch context, surface insights, and take action, all without leaving Slack.
Monitoring
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Knowledge
Design
Support
prod-alerts
checkout.charge error rate: 0.4% → 7.1% since 02:08 UTC.
Built for Agentic SDLC Workflows
Your org's operating context
The agent pulls your org's context together — across every tool and team conversation — into one place.
Your org's operating context
The agent pulls your org's context together — across every tool and team conversation — into one place.
A living memory of your team
The agent builds a knowledge base from Slack and your systems. Decisions, fixes, and patterns are captured as they happen and refined through daily use, so it reflects how your team actually works.
A living memory of your team
The agent builds a knowledge base from Slack and your systems. Decisions, fixes, and patterns are captured as they happen and refined through daily use, so it reflects how your team actually works.
Built for team collaboration
Work happens in Slack. The agent works in a shared thread alongside your team. Anyone can guide, contribute, and move tasks forward. It learns from team conversations and stays aligned as work evolves.
Built for team collaboration
Work happens in Slack. The agent works in a shared thread alongside your team. Anyone can guide, contribute, and move tasks forward. It learns from team conversations and stays aligned as work evolves.
Guardrails in place
Access, knowledge, and spend, scoped to the channel and user. Every run is explainable and attributed, so you see what the agent did, for whom, and what it cost
Guardrails in place
Access, knowledge, and spend, scoped to the channel and user. Every run is explainable and attributed, so you see what the agent did, for whom, and what it cost
Built into the agent
Add skill files and custom sandboxes to suit your needs.
Your agent’s skills
Custom sandboxes
Work that completes on its own
PR summaries, review comments, and decision artifacts show up in your channels without you having to chase them.
Yesterday's merges
- · auth-service: JWT refresh · Ahmad
- · dashboard: chart performance · Maya
- · payments: retry logic · Carlos
Blocked tickets
- · JIRA-1234 — missing design approval
- · JIRA-1456 — waiting on infra team
Overnight Sentry
- · 2 new issues · payment timeout +12%
Today's deploys
- · 14:00 UTC — api-gateway v2.4.1
Scheduled
Found 2 stale PRs in need of attention
Add rate limiting to public API
Migrate legacy auth endpoints
On signal
See how it works
Pay for time. Not tokens.
Most AI tools bill you across a moving target — model tier, token count, tool calls, context size. You can't forecast it, and your finance team hates it.
CodeRabbit charges one thing: the seconds an agent is actively working. At $0.50/minute, that's roughly $30/hour — a bargain compared to what a senior engineer costs. Except the agent runs in parallel, overnight, and on demand.
We meter every run down to the second and sum it across your team for the billing period. That's the whole model.
FAQ
CodeRabbit Agent for Slack is built for agentic SDLC workflows. It pulls your org’s operating context together from across every tool and team conversation—code, tickets, docs, monitoring, cloud—and reasons over it to move work forward in the channel or thread where it’s already happening. It investigates, plans, opens PRs, captures team knowledge, and keeps everyone aligned as work evolves.
- Agentic SDLC is a software delivery practice where AI agents participate meaningfully across the complete software development lifecycle—planning, requirement analysis, design, coding, testing, deployment, and maintenance. Instead of your team bouncing between point tools, the CodeRabbit Agent works alongside you, carrying context across phases, taking action on your behalf, capturing what the team learns, and staying accountable for its actions.
- To effectively implement the Agentic Software Development Lifecycle (SDLC), you need four key elements: a clear context of your organization's operations across code, issue trackers, and tools; a long-term, durable team knowledge; support for collaboration in existing communication channels; and proper governance with scoped access to tools and spend controls.
- Sign in with Slack to establish the workspace identity. Then connect GitHub by linking your Slack workspace to the GitHub org. Install the CodeRabbit GitHub App to grant repository access. Optionally, you can edit the base scope—the default repositories, connections, and spend baseline for the workspace. Finally, to start using CodeRabbit Agent for Slack, just mention @coderabbit in any channel or DM.
- CodeRabbit Agent for Slack connects with all the SDLC tools, such as Jira, Linear, Notion, Asana, Intercom, Zendesk, AWS, Datadog, CircleCI, PostHog, Sentry, PagerDuty, Figma, Canva, Google Drive, Gong, Pylon, OneDrive, and HubSpot. You can also plug in your own through MCP servers and APIs.
- Agent minutes are the amount of active CodeRabbit runtime spent completing a task. The runtime measures elapsed sandbox time, from command start to run finish, and bills for minutes used.
- Governance is integrated through scopes, which define everything the agent can do in a given context: accessible repositories, usable connections, user groups and users authorized to invoke it, and applicable spend limits. Every workspace starts with a default base scope, and additional scopes can be created that inherit from it and impose narrower restrictions.
- The knowledge base stores durable facts that it learned by working with your team. Knowledge respects Slack’s privacy boundaries, so public channels and shared surfaces use the global workspace knowledge base, private channels use a private conversation knowledge base, while DMs and group DMs use a private conversation knowledge base.
- Just go to the Usage tab of your CodeRabbit Agent for Slack dashboard and monitor it from there.
- CodeRabbit Agent for Slack responds only to workspace members. External users (guests) are blocked by default, and channels marked as externally shared are fully unsupported. For now, you can set up roles using the Workspace users section in your settings. Currently, you can pick between primary user, CodeRabbit admin, and scope admin (which requires a custom scope).
- The most effective resource that will allow you to grasp all the technical concepts around CodeRabbit Agent for Slack would be our docs.
- Code review runs automatically on your pull requests. CodeRabbit Agent for Slack is built for agentic SDLC workflows. It lives in the channel or thread where your team already works, pulls your org’s operating context from across code, tickets, docs, monitoring, cloud, and reasons over it to investigate, plan, open PRs, and carry your team’s knowledge forward, all within guardrails you control. The two products share the same underlying engine.
- CodeRabbit Agent for Slack is designed to amplify your team, not replace it. It remembers what your team knows, handles the repeatable work, and surfaces context so engineers can focus on the hard decisions. Your team steers the agent in real time, reviews its work, and makes the calls that matter. The hard parts of engineering stay with the engineers.
Try it today
One agent for your entire Software Development Lifecycle. Right in Slack.
Try for freeGet $50/user free agent minutes.