LinearB Agentic Studio adds engineering context to coding agents
LinearB’s new Agentic Studio experience brings together tools for measuring AI-generated code changes and deciding which ones require human review.
AT A GLANCE
Key points
- Agentic Studio brings the context of AI-generated code changes into one place.
- Explore, Measure, and Act cover querying, measurement, and merge rules.
- LinearB says existing customers can access the product through the Agentic toggle.
What is changing?
LinearB has made Agentic Studio available to engineering teams. According to the company’s current event page, the product brings together context such as who created a code change and which AI tool produced it. Existing LinearB customers can access the experience by enabling the Agentic toggle, although some accounts require an administrator to switch it on.
The Studio offers three work areas: Explore supports natural-language questions; Measure tracks how AI affects team speed and lets teams build custom metrics; and Act is designed to set rules for which AI changes may merge without a reviewer. In its own benchmark of more than 8.1 million pull requests, LinearB reports a 33% merge rate for AI-generated pull requests, compared with 85% for human-written ones.
These figures come from the provider’s own measurement. Teams should evaluate automatic-merge rules alongside code ownership, test coverage, change risk, and human approval.
Explore the original sources
Source date: 2 November 2026.
Published by AI Radar: 2 Nov 2026, 18:08 (Istanbul, UTC+3). Updated: 2 Nov 2026, 18:11.
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