Linear Coding Sessions
Quick Take
Linear Coding Sessions bring AI coding agents directly into Linear, the issue-tracking tool many software teams already use. Instead of copying an issue into a separate AI tool, you let the Linear Agent open a coding session: it reads the issue and its discussion, explores the codebase in the cloud, writes a fix, and opens a pull request for review. It’s most valuable for teams already living in Linear who want to cut the context-switching between tracking work and doing it.
What Linear Coding Sessions Are Best For
- Software and product teams already managing work in Linear
- Bug fixing: turning a clear bug report into a proposed fix
- Issue triage: investigating what an issue actually involves
- PR creation: drafting pull requests from issues automatically
- Engineering productivity: reducing back-and-forth between tools
How Linear Coding Sessions Work
When you start a coding session on an issue, the Linear Agent already has the surrounding context connected, the original request, related work, product decisions, and discussion. It investigates the codebase, proposes an approach, writes the code in a cloud environment using harnesses like Claude Code or Codex, and opens a pull request tagged for an engineer to review.
Getting Better Results
Write clear issues. The richer and clearer the issue and discussion, the better the agent’s starting context.
Scope the task. Well-defined, contained issues produce more reliable coding sessions than vague, sprawling ones.
Review every PR. Treat the pull request as a draft to verify and test, not an automatic merge.
Honest Limitations
- Best for Linear users: most useful if your team already runs work in Linear
- Requires review: AI-written fixes need human verification before shipping
- Plan-gated: available on specific Linear plans and needs a linked GitHub account
Alternatives Worth Knowing
- Claude Code, terminal-based coding agent (also used as a Linear harness)
- Codex, OpenAI’s cloud coding agent
- Cursor, IDE-integrated AI coding
- Devin, autonomous coding agent
- Kilo Code, open-source coding agent across IDEs and CLI
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Frequently Asked Questions
What are Linear Coding Sessions?
Linear Coding Sessions let the Linear Agent move directly from an issue to implementation. The agent reads the issue and its discussion, investigates the codebase, proposes an approach, writes code in a cloud environment, and opens a pull request for an engineer to review, all without leaving Linear.
What models power Linear Coding Sessions?
According to Linear, coding sessions run in the cloud using frontier models and coding harnesses such as Claude Code or Codex. The advantage is that the issue's full context, the original request, related work, and discussion, is already connected, so nothing has to be re-gathered into a new prompt.
Do I still need to review the AI's code?
Yes. Coding sessions open a pull request and tag an engineer to review it. AI-generated fixes should always be reviewed and tested before merging, treat the output as a strong starting point, not a finished, shippable change.
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