AI Code Governance

Ship AI-generated code without shipping its risks

AI-generated PRs are larger, merge less often and wait longer for review. LinearB lets you define when AI changes can be fast-tracked and when human review stays mandatory, then enforces it on every pull request.

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 Insights Dashboard

Your view of AI leverage across every team and tool

The AI Insights Dashboard shows you exactly how AI is contributing to your engineering output, broken down by team, tool, and pull request. Track AI-assisted PR rates, acceptance rates, and quality metrics in one place, with no manual data assembly required.

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.

gitStream workflow rules

Enforce standards without creating bottlenecks

Set policy-based rules that automatically enforce review standards, test coverage, and merge requirements. Quality controls run in the background so your team never has to choose between moving fast and shipping something solid.

Rework Rate Guardrail

Monitor software quality as AI usage scales

Rework rate is the share of merged work that needs to be redone, and a PR you merge and then rewrite spends from your AI budget twice. Use it as the guardrail that catches falling cost per PR masking rising quality problems.