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Changelog

New updates and improvements to Linear.


Agent Interaction Guidelines and SDK

Agents Interaction SDK

Agent Interaction Guidelines and SDK

Since the launch of Linear for Agents, teams have started using agents to accomplish real work inside of Linear. We've seen developers build agents that can write requirements, scope issues and projects, perform QA, fix bugs, and build features. From those early explorations, we’ve learned a lot about what makes agent collaboration work well — and where there’s still room to improve.

Agent Interaction Guidelines

We've distilled the learnings from our agent partners into a new framework called the Agent Interaction Guidelines (AIG). These principles and practices help developers design agents that integrate more naturally into human workflows.

If you're building agents and thinking through similar challenges, we encourage you to use AIG as a reference. AIG is a living document, and we expect to continually add to it as we learn more in practice.

Agent Interaction SDK (Developer preview)

To put the AIG principles into practice, we are also releasing a developer preview of our new Agent Interaction SDK. The Agent Interaction SDK gives developers a structured way to define how agents communicate status and progress. Now, developers can define how agents should communicate with the users using our SDK, and Linear renders the appropriate UI automatically.

Here's what's new in the Agent Interaction SDK:

Agent Delegation

Assignment now reflects accountability. When a user delegates an issue to an agent, the user remains the primary assignee, while the agent is added as a contributor working on the user's behalf.

View of issue sidebar showing the assignee and then the agent under them, having been delegated to work on the issue on behalf of the user. The user remains the assignee.

Agent Session

Agents can share a rich status indicating whether they’re actively working, waiting for input, have encountered an error, or completed their work.

A comment thread where the coding agent was looped in to help with the issue and indicates the status of their work

Agent Activity

Agents can expose detailed activity like their reasoning steps, tool usage, prompts for clarification, and final responses.

Agent activity showing the agent's thought process. It analyzed a video the user shared, then set the environment to inspect code, viewed the file, and is currently thinking.

These updates give agent developers a structured, semantic way to communicate agent behavior, while giving users realtime visibility into what agents are doing — all within Linear where teams already manage their work.

The Agent Interaction SDK is available as a developer preview, and developers can start implementing the new capabilities today. To build your own agent, check out the Developing agents doc and join the #api-agents channel in our Community Slack for support.