Slack wants to drag AI coding out of the terminal and into the group chat. The Salesforce-owned messaging platform today announced Slack Code, a new product that embeds AI coding agents — including Anthropic's Claude Code, Cognition's Devin, GitHub Copilot, and Vercel's agent — directly into dedicated Slack channels where entire teams can watch, steer, review, and ship software together. Slack Code is available on any Slack plan at launch, though customers need their own access to the partner agents. The pitch is deceptively simple: today, most work with AI coding agents happens between one person and one agent, invisible to everyone else. Slack Code makes that work "multiplayer." When someone tags a coding agent from any conversation, the agent spins up a project-specific code channel, does the work in the open — complete with code diffs, live previews, and a running plan visible in dedicated tabs — and archives the channel when the job is done, leaving behind a searchable audit trail. "One of the things I love about this is that code is no longer the bottleneck," Rob Seaman, Slack's interim CEO, said in a press briefing ahead of the launch. "Ideas, taste, judgment, craft — those are the things that are the bottleneck, and you've effectively extended the population that can contribute ideas, taste, judgment, and craft to anybody that exists in your Slack." It is a consequential launch for Slack, and a revealing one for the broader enterprise AI market. The AI coding boom has so far been a story of individual productivity — a developer alone with Claude Code or OpenAI's Codex in a terminal window. Slack is betting that the next chapter belongs to whoever owns the collaborative layer around those agents. And it is making that bet at a moment when its parent company badly needs the story to land. How Slack Code channels put AI coding agents to work in the open In the interview, which also included executives from Cognition, Slack leaders described a workflow that looks less like pair programming and more like a newsroom. Jeff Wang, president of new enterprise at Cognition — maker of the Devin coding agent — walked through a live demonstration: someone reports a broken feature in an engineering channel, Devin acknowledges it with an emoji, replies in the thread, investigates, and opens a pull request. "It even knows the code owner, so you can see it tagged Theo into this as well," Wang said. "Every time Devin is doing something like this, it does have its own computer. So here, it's actually using Chrome and the DevTools to test if the feature is working correctly." From there, the work migrates into a dedicated code channel where anyone — an engineer, a product manager, a designer — can jump in. In Wang's demo, a designer dropped a Figma file into the channel mid-task, and the agent incorporated it without breaking stride. The agent finished by posting the code changes alongside screenshots and a recorded demo proving the feature worked. That verification loop is central to the pitch: cloud-based agents, unlike agents running on a developer's laptop, can generate an auditable record that the work is actually correct. "Scaling things, auditing things, giving it to everybody — that is much easier with these cloud agents form factor than it is with local agents," Wang said. The launch reaches beyond code channels, too. Slack is shipping a broader rework of how agents live in the product: agent DMs that behave like conversations with a colleague, a new Agents tab that gives every agent session a home base with live status and a stop button, and an "Add to Slack" flow that lets teams deploy agents from platforms including Lovable, n8n, OpenAI, LangChain, and Airtable in a few clicks, with OAuth and configuration automated. Why Slack says writing code is no longer the bottleneck in software development The strategic argument underneath Slack Code is that AI has inverted the economics of software development. Writing code used to be the scarce, expensive step. Now, Slack's executives argue, it is the cheap one — and the constraint has moved upstream, to human judgment. "One of the things I love about this is that code is no longer the bottleneck," Seaman said in the press briefing. "Ideas, taste, judgment, craft — those are the things that are the bottleneck, and you've effectively extended the population that can contribute ideas, taste, judgment, and craft to anybody that exists in your Slack." Cognition offered internal numbers to back up the velocity claim. "We've seen our internal merged PR count go up 10x in the last few months, versus our headcount has only gone up like 40 percent," Wang said, describing a workflow where engineers fire off a Devin task, move to something else, and launch another — "soon you have everybody working on like dozens of agents at a time." The pattern extends well beyond engineers, Wang said. "Believe it or not, a lot of our bugs are reported by our sales team. They report it in Slack, and then someone who's technical applies them to fix the bug." Seaman seized on that example as the whole thesis in miniature: "So much of that stuff never even made its way to a product manager into a backlog because the communication vehicles weren't there, the motivation wasn't there, the knowledge that it could actually be fixed so quick wasn't there — and we've effectively knocked all of that down." Wang went further, sketching where he believes this ends up. Toil work — "fixing bugs, fixing CI/CD, or fixing vulnerabilities, all these things engineers probably don't want to do — we think will be automated away," he said. What remains is the work that "requires creativity, planning, business logic." He added a prediction that will make some engineering leaders uneasy: while a human still gates every merge today, "I suspect maybe in the next year it's just going to go through automatically." Can working

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