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New AI Release Tools from LaunchDarkly Improve Team Deployment Speed and Safety

At its annual Galaxy conference, LaunchDarkly announced a slate of new capabilities designed to help engineering and product teams manage the growing complexity of software development in the age of AI. As AI-generated code increases the pace and volume of releases, LaunchDarkly’s latest updates bring observability, runtime AI controls, and real-time analytics directly into the release pipeline.

CEO Dan Rogers said that in a world where “software evolves by the hour and AI models adapt unpredictably in production,” teams need feature-level control to minimize risk. With Guarded Releases, AI Configs, and Warehouse-Native Experimentation now generally available, LaunchDarkly is positioning itself as the essential platform for safe, iterative software delivery in an AI-driven world.

James Dargan
About the author
James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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