Salesforce to move AI coding into a shared workspace with Slack Code

In August 2026, Slack introduced Slack Code, which is a dedicated workspace for teams to collaborate with AI coding agents on software development. Code channels bring coding work into Slack, allowing developers and other team members to share context, review changes and work with agents in a common environment.

Coding agents such as Claude Code, Devin, GitHub Copilot, ChatGPT and Vercel agents have made software development faster and more accessible. However, much of the work between an individual and an AI agent currently happens outside team conversations, which can result in lost context, delayed reviews, and additional hand-offs.

Slack Code is also designed to bring that work into a dedicated space within Slack. Each code channel is associated with a specific project, allowing teams to work with an agent on coding tasks while keeping the conversation, code and related context together. Slack Code is being developed with an ecosystem of coding-agent providers. Anthropic, Cognition, GitHub, OpenAI and Vercel are among companies that are developing integrations, allowing their agents to work within the shared Slack environment. Slack also plans to open its code-channel APIs to the broader developer community, enabling custom agents to participate in the workspace.

Slack is also expanding how agents appear across its platform. Agent DMs provide dedicated conversations with clearly identified agents, while a new Agents tab gives users a central place to view agents and their sessions, check statuses and stop agents when required. The Add to Slack capability enables users to bring agents built with platforms including Lovable, Vercel, OpenAI, LangChain and n8n into Slack.

The company also stated that the Slack Code represents a shift towards collaborative software development in which humans and AI agents work within the same shared environment, retaining the context and history of the development process.

Impact on the AI Market

Through this new feature, code channels can be created automatically when a coding agent is tagged from an existing conversation. Once created, the channel helps to provide a shared view of the agent’s work, including the conversation, plan, code changes, and live previews. Completed channels can be archived while retaining their history as an audit record. Teams can use Slack Code while developing a new feature, updating a webpage, or even fixing a bug. A user can bring a coding agent into the task, after which team members can follow the work, review code differences, inspect live previews, provide feedback, and approve changes before they are shipped.

This shared workspace is also aimed at bringing non-technical team members into the domain of software development. Product managers, designers, and other employees can all participate in the process without opening a terminal, while engineers can review and approve the resulting code. Slack calls this idea the "multiplayer AI."

Impact on the Artificial Intelligence Software Market

The global artificial intelligence (AI) software market size was calculated at USD 257.37 billion in 2025 and is predicted to increase from USD 316.50 billion in 2026 to approximately USD 1,640.51 billion by 2035, expanding at a CAGR of 20.35% from 2026 to 2035.

According to Precedence Research, the market growth is driven by high demand for automation through intelligence, investment in AI technologies, and rising implementation of advanced software solutions in industries such as healthcare, BFSI, retail, manufacturing, and IT. The advent of agentic AI, multimodal AI models, and AI copilots is expected to accelerate the market growth rate globally. More and more companies are making use of generative AI software for content creation, coding, marketing campaign automation, and business analysis. This technology is useful in minimizing operational expenses and promoting efficiency in decision-making processes. Software engineers use applications for code writing and optimization that are based on artificial intelligence technology. Such technologies enable quicker programming, minimize coding errors, ensure higher software quality, and boost the productivity of software engineers.

AI software is also becoming deeply integrated across a wide range of applications, including productivity and collaboration tools, cybersecurity platforms, customer service solutions, healthcare diagnostics, financial analytics, and software development environments. Continuous advancements in AI models, cloud computing infrastructure, and enterprise automation are further helping to accelerate the adoption of intelligent software solutions, thus making AI a fundamental driver of innovation and digital transformation across the global software industry.

Impact on the Artificial Intelligence as a Service Market

The global artificial intelligence as a service market size is estimated at USD 16.48 billion in 2025 and predicted to increase from USD 22.70 billion in 2026 to approximately USD 294.83 billion by 2035, expanding at a CAGR of 37.78% from 2025 to 2035.

According to Precedence Research, the market is quickly growing as today's businesses are adopting AI-enabled solutions on cloud platforms. Organizations all over the world are leveraging AIaaS to improve automation, decision-making, and efficiency. The increase in the use of natural language processing (NLP), predictive analytics, and machine learning (ML) technologies/solutions in businesses is driving this demand. Due to its flexibility and cost structure, AIaaS is preferred in almost every industry and has the potential to transform the global economy digitally, thereby contributing to the continuing expansion of the global market.

Artificial Intelligence as a Service is also rapidly gaining massive traction as businesses are increasingly adopting cloud-based AI platforms in order to identify and provide quick digital transformation. Companies are adopting AIaaS capabilities, such as predictive analytics, automation, NLP, and computer vision, with minimal investments in infrastructure. There is also a growing investment trend relating to the market growth of AI innovation and enterprise modernization.

Expert Opinion

“AI only creates value when it’s part of how a team actually works, not something people go do alone in another tab. Code channels bring that work into the open, where the rest of the team can see it, shape it, and build on it,” said Rob Seaman, EVP and GM of Slack, Salesforce.