06 Linear Changelog · 20 August 2026

AI coding agents are moving from output to evidence

Linear’s coding sessions can run browser tests, navigate user flows, capture screenshots and iterate when implementation problems appear.

Brief

Describe the intended interaction and acceptance criteria

Build

Let the agent implement inside a configured environment

Verify

Run the flow in-browser and capture visual evidence

Review

Inspect screenshots, code changes and edge cases together

The useful AI workflow is not “generate and trust.” It is “generate, exercise, inspect.”

The Story

Linear’s coding sessions now frame agent work as a more complete loop: set up the environment, write and test code, open a pull request, then verify the experience in a browser.

For designers who build, the screenshot step matters. Visual regressions, broken interactions and awkward states often escape code review because they are experiential rather than syntactic.

The strongest pattern here is evidence-based collaboration. Ask the agent to return not only what changed, but how it tested the change and what a human should inspect next. ([linear.app](https://linear.app/changelog))

Studio Wensday Angle

AI-assisted building becomes trustworthy when the workflow produces inspectable evidence.