Every enterprise wants its software factory running around the clock, and nobody wants to ship a risky change without a human. In LinearB's benchmark of more than 8.1 million pull requests, AI-generated pull requests merge at 33%, against 85% for human-written ones. Human review capacity doesn’t scale with AI output, so teams have to decide which changes agents can ship alone and which need a person first.
That decision requires context on every change: who wrote it, which AI tool it came from, and what happened when it shipped. LinearB’s Agentic Studio puts that context in one place.
What you’ll see:
- Explore. Ask questions in plain language and skip the dashboard.
- Measure. See where AI speeds your team up and where it slows it down, and build the metric your business runs on.
- Act. Decide which AI changes merge without a reviewer.
