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Ask LinearB about your software factory, agents and teams
The AI assistant and MCP server are now open to editors and viewers, with every answer scoped to the teams they already see.
AI
Is the modern data stack built for AI agents?
MotherDuck CEO Jordan Tigani on why most queries never needed a distributed warehouse. Now AI agents are rewriting pipelines, dashboards, and data engineering.
AI
Fixing the AI data ingestion crisis requires smarter agent permissions
Airbyte CEO Michel Tricot on why the AI data ingestion crisis is an agent permissions problem. Entity resolution, escape hatches, and context sprawl, explained.
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AI
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.
AI
Software factories demand human oversight, metrics, and trust to scale AI coding
Software factories scale AI coding only with human oversight, metrics and trust. HumanLayer, Warp and LinearB on night vision, cost per PR, and code ownership.
AI
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.
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AI
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.
AI
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.
AI
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...