Agents

Ask LinearB about your software factory, agents and teams

Agents now run parts of your delivery with the lights off. LinearB attributes every PR to a person or an agent, governs how agent code reaches production and gives agents and people the same context through the AI assistant and MCP server.

Trusted by the teams transforming software delivery

Agents run parts of the SDLC with the lights off. You still need night vision.

The goal isn't darkness. It's seeing what clears the factory without a rescue, which takes attribution for every PR, signal past the merge and cost measured against delivered work.

50+

AI tools tracked, with no local install

See what your agents ship

LinearB attributes every pull request to a person or an agent, using git signals and direct API integrations, then follows the work past the merge to rework, review load and cost.

Attribution for every PR

Person, AI-assisted or agent, with no manual tagging.

Signal past the merge

Rework and review load show whether agent work holds up.

Cost vs. delivered work

Compare what agents cost with what actually ships.

Govern how agent code reaches production

LinearB is the only engineering productivity platform that lets you standardize, enforce and adapt AI policies. Policy-as-code decides what agent changes need before they merge, from extra approvals to routing to a human owner.

Extra approval for agent commits

Require a human sign-off before agent code merges.

Risk-based routing

Send each agent change to the person who owns that code.

Govern how agent code reaches production

Give agents and people the same context

The AI assistant and MCP server answer questions about your delivery from Claude, Cursor or VS Code, with every answer scoped to the teams each user already sees.

MCP from your tools

Connect from Claude, Cursor or VS Code with OAuth.

Scheduled Slack summaries

Get a weekly delivery summary posted automatically.

Scoped by role

Answers follow each user's permissions, and individual data is off by default.

We're delivering a brand new product that started at the beginning of this year in eight months. Prior to AI, that would have been a year to an 18-month project, for sure, and it would have taken a team twice the size.

Ken Ringdahl

Engineering Chief of Staff, Emburse

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More resources

Cover image for AI coding agents ship code faster. Can security keep up?

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See what your agents are shipping, on your own data.

Agent vs. human PR share by team

Where agent PRs wait for review

Governance policies you could apply today