Slack Code brings AI agents into group chats for collaborative coding

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Slack has launched Slack Code, a feature that lets teams work with AI coding agents directly in dedicated channels. Users can tag agents like Claude Code, Devin, or GitHub Copilot to handle tasks while the entire team monitors progress, reviews changes, and approves work before shipping.

Slack Code Introduces AI Agents to Group Chats

Slack has unveiled Slack Code, a feature that brings AI coding agents directly into team conversations through dedicated project channels. Available now on all Slack plans, the tool allows teams to collaborate with AI agents like Anthropic's Claude, Cognition's Devin, GitHub Copilot, and ChatGPT without switching between different tools

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. Users simply tag an agent from any Slack conversation, which then creates a code channel for the specific task

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The Salesforce-owned platform is positioning this as "multiplayer AI," moving AI-assisted coding from isolated developer terminals into shared team spaces where everyone can participate

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. This shift addresses a common workflow gap where developers work with AI agents privately, then bring results back to teams only when ready for review.

Source: The Register

Source: The Register

How Collaborative Coding Works in Practice

When a team member identifies a need—whether building a new feature, updating a web page, or fixing software bugs—they tag an AI coding agent directly in Slack. The agent immediately spins up a dedicated code channel, automatically including relevant team members and context needed to complete the task

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. Each channel maps to a particular project, keeping the main company chat free from technical details

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Team members can monitor the agent's progress in real-time, review proposed code changes through diff comparisons, and view live HTML previews before anything ships

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. Slack VP of product Katie Steigman emphasized that "the whole team and the agent work together on the build" with no specialized tools required

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. Once work is completed, channels archive themselves automatically while preserving audit logs for record keeping

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Human Oversight and Security Controls

While AI agents handle coding tasks, human oversight remains central to the workflow. Anyone in a code channel can pause, redirect, or stop an agent at any point during collaborative development

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. High-stakes actions like merging code to production require explicit human sign-off, governed by Slack's enterprise security model

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. This design choice addresses concerns about AI agents misinterpreting instructions or making critical errors.

The AI agents inherit Slack's existing permissions, security policies, and administrative controls, eliminating the need for organizations to build separate management layers

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. This workflow integration means product managers, designers, and other non-engineering staff can participate without opening terminals or learning specialist tools

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Expanding Beyond Software Development

Slack Code launches with integrations from founding partners including Claude Code, Devin, Vercel Agent, and GitHub Copilot

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. The company plans to open APIs to the broader developer community, potentially expanding code channels to host AI agents handling tasks beyond software development, from marketing work to legal document review

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Alongside Slack Code, the platform introduced Agent DMs for direct conversations with AI workers and a new Agents tab where users can find agents, revisit sessions, check status, or stop runaway processes

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. An "Add to Slack" feature simplifies deploying agents built on third-party platforms

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. This positions AI agents as digital coworkers, continuing Slack's strategy of embedding AI throughout its platform, similar to its earlier Slackbot assistant

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