Anthropic's Claude Code can now read your Slack messages and write code for you

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Anthropic on Monday launched a beta integration that connects its fast-growing Claude Code programming agent on to Slack, allowing software engineers to delegate coding tasks without leaving the workplace messaging platform where much of their each day communication already happens.

The discharge, which Anthropic describes as a "research preview," is the AI safety company's latest move to embed its technology deeper into enterprise workflows — and comes as Claude Code has emerged as a surprise revenue engine, generating over $1 billion in annualized revenue just six months after its public debut in May.

"The critical context around engineering work often lives in Slack, including bug reports, feature requests, and engineering discussion," the corporate wrote in its announcement blog post. "When a bug report appears or a teammate needs a code fix, you’ll be able to now tag Claude in Slack to mechanically spin up a Claude Code session using the encompassing context."

From bug report back to pull request: how the brand new Slack integration actually works

The mechanics are deceptively easy but address a persistent friction point in software development: the gap between where problems get discussed and where they get fixed.

When a user mentions @Claude in a Slack channel or thread, Claude analyzes the message to find out whether it constitutes a coding task. If it does, the system mechanically creates a brand new Claude Code session. Users also can explicitly instruct Claude to treat requests as coding tasks.

Claude gathers context from recent channel and thread messages in Slack to feed into the Claude Code session. It would use this context to mechanically select which repository to run the duty on based on the repositories you've authenticated to Claude Code on the net.

Because the Claude Code session progresses, Claude posts status updates back to the Slack thread. Once complete, users receive a link to the total session where they will review changes, together with a direct link to open a pull request.

The feature builds on Anthropic's existing Claude for Slack integration and requires users to have access to Claude Code on the net. In practical terms, a product manager reporting a bug in Slack could tag Claude, which might then analyze the conversation context, discover the relevant code repository, investigate the problem, propose a fix, and post a pull request—all while updating the unique Slack thread with its progress.

Why Anthropic is betting big on enterprise workflow integrations

The Slack integration arrives at a pivotal moment for Anthropic. Claude Code has already hit $1 billion in revenue six months since its public debut in May, based on a LinkedIn post from Anthropic's chief product officer, Mike Krieger. The coding agent continues to barrel toward scale with customers like Netflix, Spotify, and Salesforce.

The speed of that growth helps explain why Anthropic made its first-ever acquisition earlier this month. Anthropic declined to comment on financial details. The Information earlier reported on Anthropic's bid to accumulate Bun.

Bun is a breakthrough JavaScript runtime that’s dramatically faster than the leading competition. As an all-in-one toolkit — combining runtime, package manager, bundler, and test runner — it's grow to be essential infrastructure for AI-led software engineering, helping developers construct and test applications at unprecedented velocity.

Since becoming generally available in May 2025, Claude Code has grown from its origins as an internal engineering experiment right into a critical tool for lots of the world's category-leading enterprises, including Netflix, Spotify, KPMG, L'Oreal, and Salesforce — and Bun has been key in helping scale its infrastructure throughout that evolution.

The acquisition signals that Anthropic views Claude Code not as a peripheral feature but as a core business line price substantial investment. The Slack integration extends that bet, positioning Claude Code as an ambient presence within the workspaces where engineering decisions actually get made.

In response to an Anthropic spokesperson, firms including Rakuten, Novo Nordisk, Uber, Snowflake, and Ramp now use Claude Code for each skilled and novice developers. Rakuten, the Japanese e-commerce giant, has reportedly reduced software development timelines from 24 days to only 5 days using the tool — a 79% reduction that illustrates the productivity claims Anthropic has been making.

Claude Code's rapid rise from internal experiment to billion-dollar product

The Slack launch is the most recent in a rapid series of Claude Code expansions. In late November, Claude Code was added to Anthropic's desktop apps including the Mac version. Claude Code was previously limited to mobile apps and the net. It allows software engineers to code, research, and update work with multiple local and distant sessions running at the identical time.

That release accompanied Anthropic's unveiling of Claude Opus 4.5, its newest and most capable model. Claude Opus 4.5 is obtainable today on the corporate's apps, API, and on all three major cloud platforms. Pricing is $5/$25 per million tokens — making Opus-level capabilities accessible to much more users, teams, and enterprises.

The corporate has also invested heavily within the developer infrastructure that powers Claude Code. In late November, Anthropic released three recent beta features for tool use: Tool Search Tool, which allows Claude to make use of search tools to access hundreds of tools without consuming its context window; Programmatic Tool Calling, which allows Claude to invoke tools in a code execution environment reducing the impact on the model's context window; and Tool Use Examples, which provides a universal standard for demonstrating easy methods to effectively use a given tool.

The Model Context Protocol (MCP) is an open standard for connecting AI agents to external systems. Connecting agents to tools and data traditionally requires a custom integration for every pairing, creating fragmentation and duplicated effort that makes it difficult to scale truly connected systems. MCP provides a universal protocol — developers implement MCP once of their agent and it unlocks a complete ecosystem of integrations.

Inside Anthropic's own AI transformation: what happens when engineers use Claude all day

Anthropic has been unusually transparent about how its own engineers use Claude Code — and the findings offer a preview of broader workforce implications. In August 2025, Anthropic surveyed 132 engineers and researchers, conducted 53 in-depth qualitative interviews, and studied internal Claude Code usage data to grasp how AI use is changing work at the corporate.

Employees self-reported using Claude in 60% of their work and achieving a 50% productivity boost, a 2-3x increase from this time last yr. This productivity looks like barely less time per task category, but considerably more output volume.

Perhaps most notably, 27% of Claude-assisted work consists of tasks that wouldn't have been done otherwise, akin to scaling projects, making nice-to-have tools like interactive data dashboards, and exploratory work that wouldn't be cost-effective if done manually.

The interior research also revealed how Claude is changing the character of engineering collaboration. The utmost variety of consecutive tool calls Claude Code makes per transcript increased by 116%. Claude now chains together 21.2 independent tool calls without need for human intervention versus 9.8 tool calls from six months ago.

The variety of human turns decreased by 33%. The common variety of human turns decreased from 6.2 to 4.1 per transcript, suggesting that less human input is obligatory to perform a given task now in comparison with six months ago.

However the research also surfaced tensions. One distinguished theme was that Claude has grow to be the primary stop for questions that when went to colleagues. "It has reduced my dependence on [my team] by 80%, [but] the last 20% is crucial and I am going and discuss with them," one engineer explained. Several engineers said they "bounce ideas off" Claude, much like interactions with human collaborators.

Others described experiencing less interaction with colleagues. Some appreciate the reduced social friction, but others resist the change or miss the older way of working: "I like working with people and it is gloomy that I 'need' them less now."

How Anthropic stacks up against OpenAI, Google, and Microsoft within the enterprise AI race

Anthropic shouldn’t be alone in racing to capture the enterprise coding market. OpenAI, Google, and Microsoft (through GitHub Copilot) are all pursuing similar integrations. The Slack launch gives Anthropic a presence in one of the vital widely-used enterprise communication platforms — Slack claims over 750,000 organizations use its software.

The deal comes as Anthropic pursues a more disciplined growth path than rival OpenAI, specializing in enterprise customers and coding workloads. Internal financials reported by The Wall Street Journal show Anthropic expects to interrupt even by 2028 — two years sooner than OpenAI, which continues to take a position heavily in infrastructure because it expands into video, hardware, and consumer products.

The move also marks an increased push into developer tooling. Anthropic has recently seen backing from a few of tech's biggest titans. Microsoft and Nvidia pledged as much as $15 billion in fresh investment in Anthropic last month, alongside a $30 billion commitment from Anthropic to run Claude Code on Microsoft's cloud. That is along with the $8 billion invested from Amazon and $3 billion from Google.

The cross-investment from each Microsoft and Google — fierce competitors within the cloud and AI spaces — highlights how beneficial Anthropic's enterprise positioning has grow to be. By integrating with Slack (which is owned by Salesforce), Anthropic further embeds itself within the enterprise software ecosystem while remaining platform-agnostic.

What the Slack integration means for developers — and whether or not they can trust it

For engineering teams, the Slack integration guarantees to collapse the space between problem identification and problem resolution. A bug report in a Slack channel can immediately trigger investigation. A feature request can spawn a prototype. A code review comment can generate a refactor.

But the mixing also raises questions on oversight and code quality. Most Anthropic employees use Claude steadily while reporting they will "fully delegate" only 0-20% of their work to it. Claude is a relentless collaborator but using it generally involves lively supervision and validation, especially in high-stakes work — versus handing off tasks requiring no verification in any respect.

Some employees are concerned in regards to the atrophy of deeper skillsets required for each writing and critiquing code — "When producing output is very easy and fast, it gets harder and harder to really take the time to learn something."

The Slack integration, by making Claude Code invocation so simple as an @mention, may speed up each the productivity advantages and the skill-atrophy concerns that Anthropic's own research has documented.

The long run of coding could also be conversational—and Anthropic is racing to prove it

The beta launch marks the start of what Anthropic expects shall be a broader rollout, with documentation forthcoming for teams seeking to deploy the mixing and refinements planned based on user feedback in the course of the research preview phase.

For Anthropic, the Slack integration is a calculated bet on a fundamental shift in how software gets written. The corporate is wagering that the long run of coding shall be conversational — that the partitions between where developers discuss problems and where they solve them will dissolve entirely. The businesses that win enterprise AI, on this view, shall be those that meet developers not in specialized tools but within the chat windows they have already got open all day.

Whether that vision becomes reality will depend upon whether Claude Code can deliver enterprise-grade reliability while maintaining the safety that organizations demand. The early returns are promising: a billion dollars in revenue, a roster of Fortune 500 customers, and a growing ecosystem of integrations suggest Anthropic is onto something real.

But in considered one of Anthropic's own internal interviews, an engineer offered a more cautious assessment of the transformation underway: "No person knows what's going to occur… the vital thing is to only be really adaptable."

Within the age of AI coding agents, that will be the only profession advice that holds up.



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