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CodeRabbit Launches Slack Agent Aimed at Broader Software Development Workflow

• By John K. Waters
• April 22, 2026

CodeRabbit, an artificial intelligence startup focused on code review, said on Wednesday it is expanding into team collaboration software with a new Slack-based agent designed to follow engineering work across the full software development lifecycle.

The San Francisco-based company said the product, called CodeRabbit Agent, is meant to bring AI into the workflow that engineering teams already use to plan, debug, and ship software, rather than limiting the technology to isolated coding tasks.

The launch reflects a broader shift in software development, where AI tools have sped up individual work such as writing code, fixing bugs, and generating tests, while companies continue to look for ways to apply those gains across planning, design, testing, deployment, and maintenance.

CodeRabbit said its new product is intended to address that gap by acting as a single agent across what it described as the seven phases of the software development lifecycle. The company said the agent carries context and decisions from one phase to the next, with the goal of preserving team knowledge that might otherwise be lost during handoffs between tools and teams.

"Every engineering team is adopting AI, and individual software development is faster than ever," said Harjot Gill, CodeRabbit's co-founder and chief executive, in a statement. "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."

The new offering is built on the same context engine that the company says already handles two million code reviews a week across 15,000 engineering teams. The company described the Slack agent as a "second brain" for teams, capturing decisions, fixes, patterns, and conversations and turning them into a continuously updated knowledge base.

The product is organized around four core functions: context, memory, team collaboration, and governance. The agent was designed to connect to coding platforms, including GitHub, GitLab, Bitbucket, and Azure DevOps; ticketing systems, including Jira and Linear; documentation platforms, including Notion and Confluence; monitoring tools, including Datadog, PostHog, and Sentry; and cloud platforms, including AWS and GCP.

The company said the agent works inside shared Slack threads, where team members can guide its work and contribute to tasks as they evolve. It also said access, knowledge, and spending can be scoped by channel and user, with each run designed to be explainable and attributed.

CodeRabbit Agent for Slack is available now, and the company is offering a free trial.