Software Factory

Know whether your software factory actually works

Agents can triage, implement, review and ship, but adoption numbers can't tell you whether any of it delivered. LinearB is the context layer for your software factory, attributing every PR to human, AI-assisted or agent work and measuring what actually merged.

Trusted by the teams transforming software delivery

What your software factory is doing to your engineers

AI shifted engineers from writing code to reviewing it. Learn to read the strain signals in your own engineering data - before they show up as attrition.

AI Adoption Depth

See how deep AI adoption actually goes, team by team

Adoption counts tell you who has AI turned on, not who gets value from it. LinearB attributes every PR as human, AI-assisted or agent-authored. In our benchmarks, the heaviest AI users merged 95.7% more than a year earlier, while light users gained 2.2%.

Agentic PR Ownership

Give every agent-opened PR a human owner

When no human owns an agent's PR, it sits unmerged. In our benchmarks, agentic PRs merge 79% of the time at elite organizations and 37% at the fair tier. LinearB routes each PR to an owner based on code ownership the moment it opens.

AI Code Review

Catch the risks AI introduces before they reach production

AI generates code faster than most teams can safely review it. LinearB's AI Code Review automatically scans every pull request for security vulnerabilities, bugs, performance issues, and spec mismatches before merge. You get the speed AI promises without the quality debt.

Cost Per Effective PR

Measure what a delivered pull request actually costs

Cost per effective PR divides your total engineering cost, people and AI combined, by your effective PRs, pull requests merged with your rework rate discounted out. Track it as a trend to see cost fall while effective PRs rise.

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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Cover image for The great software factory debate: How do you know it’s working?

Workshop

See your factory on your data

Get a live look at what your AI and agents are actually delivering.

How deep AI adoption goes on each team

Your agentic PR merge rate

Your cost per effective PR trend