How to succeed with AI-powered devops tools

If the supreme goal for software development teams is to get high-quality products to market as quickly, efficiently, and securely as possible, then deploying AI-powered tools for devops might be the way to achieve that objective. AI-powered tools can help to speed up software delivery, enhance system reliability, and reduce operational costs by automating complex…

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How to run enterprise GenAI like a production service

Enterprise GenAI (generative AI) deployments succeed when teams run them with the same discipline they apply to other user-facing services. The model sits in the middle of a pipeline that handles identity, policy, retrieval, inference, and logging. Each stage affects quality, latency, cost, and risk. A pilot can hide these dependencies. Production traffic exposes them….

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AI’s brave new world of technical debt

Mitchell Hashimoto wants you to stop updating your dependencies, which, from a historical context, is certifiably insane. In fact, in the wake of Mythos and the potential to make zero-day exploits common, it still may sound insane. Yet after the spring npm just had, Hashimoto’s counsel may actually sound less like heresy and more like…

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