CodeRabbit has launched CodeRabbit Agent for Slack, expanding its software tools beyond code review into team collaboration.
Aimed at engineering teams, the product is designed to support the full software development lifecycle, from planning and design through coding, testing, deployment and maintenance. It is built on the same context engine that powers CodeRabbit’s existing code review service.
That engine already supports two million code reviews a week across 15,000 engineering teams, according to the company. The new release brings that technology into Slack, where many software teams discuss bugs, review decisions and coordinate releases.
Slack Focus
CodeRabbit is positioning the product as a single agent that follows work across seven stages of the software development lifecycle. Instead of relying on separate tools or assistants for individual tasks, teams can use one system that retains information and decisions as work moves from one phase to the next.
The product connects with code repositories including GitHub, GitLab, Bitbucket and Azure DevOps. It also links with ticketing systems such as Jira and Linear, documentation platforms including Notion and Confluence, monitoring tools such as Datadog, PostHog and Sentry, and cloud services including AWS and GCP.
Inside Slack, the system is intended to capture decisions, fixes, patterns and team discussions in a shared environment. It also includes access controls, records of each agent run and spend attribution by user and channel.
Harjot Gill, Co-founder and Chief Executive Officer of CodeRabbit, outlined the rationale for launching the product in Slack.
“Every engineering team is adopting AI, and individual software development is faster than ever. What leaders keep telling us is that software engineering the full SDLC is still slow, because three things are missing from today’s tools: placement inside the workspace where engineering collaboration already happens, an explainable record of what the agent actually did, and cost attribution that matches how teams are organized. CodeRabbit Agent brings all three into Slack, as one agent for the entire SDLC,” Gill said.
Broader Push
The launch reflects a wider shift among software tool providers beyond code generation and code review toward systems that track work across a broader range of engineering processes. Developers have adopted AI tools for writing code, fixing bugs and generating tests, and companies are increasingly focusing on how AI is used across planning, collaboration and operational workflows.
CodeRabbit argues that engineering work often slows at handover points between teams, tools and stages of development. In those situations, information shared during design or debugging can be lost before a product reaches testing or deployment, particularly when decisions are spread across multiple systems.
The Slack-based agent is intended to keep that information in one place and make it available to the wider team. It works in shared threads, where team members can guide tasks and contribute as work develops.
Product Details
The product is organised around four areas: context, memory, team collaboration and governance. In practice, that means drawing information from connected systems, maintaining an updated body of internal knowledge, supporting shared work inside Slack and recording what the agent did and what it cost.
CodeRabbit Agent for Slack is available immediately. The company is offering it on a free-trial basis, with new customers receiving USD $50 per user in free agent minutes.
Based in San Francisco, CodeRabbit focuses on AI tools for software teams. It says it now serves more than 15,000 teams and handles more than two million code reviews each week.