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Agentic Studio targets a real bottleneck: AI coding tools have sharply increased code volume, but review and merge throughput hasn't kept pace. The reported figures, including larger AI-assisted pull requests, longer review waits, and lower merge rates for agent-written code, are vendor-sourced and should be checked against independent data. For AI readers, the more durable question is whether a shared context layer across repositories and tracking tools measurably shortens delivery cycles.

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With Agentic Studio, LinearB provides the critical context needed to accelerate software delivery

SiliconANGLE2 noiembrie 20265 min de cititArticolul și perspectiva sunt în engleză.

Application development intelligence startup LinearB Inc. said today it’s trying to ease the growing congestion in organization’s software delivery pipelines that has arisen with the widespread adoption of artificial intelligence coding tools. It’s doing so with Agentic Studio, a new offering announced today that’s focused on providing more actionable context for human engineers and autonomous […] The post With Agentic Studio, LinearB provides the critical context needed to accelerate software delivery appeared first on SiliconANGLE.

Application development intelligence startup LinearB Inc. said today it’s trying to ease the growing congestion in organization’s software delivery pipelines that has arisen with the widespread adoption of artificial intelligence coding tools. It’s doing so with Agentic Studio, a new offering announced today that’s focused on providing more actionable context for human engineers and autonomous coding agents alike. The startup says the emergence of generative AI coding tools such as Claude Code and Codex has led to new headaches for enterprise software development teams. Though writing…

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