LinearB Blog | Insights and Best Practices for Software Engineering Leaders

How to tell whether your team can sustain the pace AI set

The engineering health dashboard in LinearB shows who absorbs your review volume, how many tickets each developer juggles in a day, and where delivery drags.

How to keep seeing when your software factory runs in the dark

How to keep visibility as your SDLC runs without humans: LinearB, HumanLayer and Warp on tracking autonomy and measuring quality past the merge.

Why the best agentic security removes engineering friction

1Password CTO Nancy Wang on why the best agentic security removes engineering friction. Discover how no long-lived secrets keep agents and engineers safe.

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Simplicity in model-driven agents and MCP drives real engineering gains

AWS's Clare Liguori on why the model, not the scaffolding, should carry the load in agent development. Discover how simpler agents and MCP drive real gains.

Elite AI-driven engineering teams double PR output while others stall

LinearB CTO Yishai Beeri breaks down benchmark data revealing how elite AI-driven engineering teams doubled their merged PR output while others stalled. Learn...

Asana's agentic work management closes the AI productivity gap

Asana Chief Product Officer Arnab Bose breaks down how agentic work management closes the widening AI productivity gap between individuals and organizations....

You can now measure AI ROI with LinearB

Today, we're launching the AI ROI dashboard in LinearB, live now for every customer with metrics builder enabled.

AI agents are killing the pull request and reinventing CI/CD

CircleCI CTO Rob Zuber explains why AI adoption is killing the pull request and forcing engineering teams to completely reimagine the software development...

Rippling's employee graph turns HR data into an agentic AI platform

Rippling CTO Albert Strasheim explains why the employee graph serves as the essential context layer for enterprise agentic AI. Discover how unifying HR, IT,...

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