JetBrains launched JetBrains Air as an open system for agentic software development that spans its IDEs and surrounding tooling. The company says it is taking “one of the most significant steps in our 26-year history.” JetBrains Air consolidates its existing agent products—Air in IDEs, Air Teams, and Air Governance—while keeping an IDE-centered workflow for reviewing and verifying agent-generated code.
Kantata unveiled Agent Studio, a tool that lets services firms build custom AI agents by describing the job in plain language instead of writing code. Agent Studio is available now and is in use by customers. It shifts agent creation to conversation-based builds within Kantata’s platform, with standard formats and governance applied once to reduce repeated prompt drafting and reformatting.
Linear’s team redesigned its CI to remove bottlenecks created by faster AI-assisted code shipping, by optimizing runner time and PR wait time. Pull request wait time dropped from more than 6 minutes to just over 5, despite test suites nearly quadrupling since the start of the year. CI became faster and more efficient through changes to infrastructure, checkout, gating, setup, and sharding, cutting various CI costs and reducing developer/agent feedback latency.
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