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If there’s one big takeaway from the AI coding space this week, it’s that the era of flat-rate, all-you-can-code pricing is coming to an end — and the bill is arriving faster than some might have anticipated.

The clearest illustration came from GitHub, which retired Copilot’s fixed subscription model in


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Ready or not, the agentic enterprise is here, and the key to enabling it efficiently is being debated from various perspectives. Strategies can range from DIY schemes to best-of-breed point solutions to a single, governed, AI-powered tool that manages it all with minimal human oversight.


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As large language models evolve from mere chatbots into autonomous agents capable of reasoning, planning, and acting, they are beginning to orchestrate complex application stacks on their own.

However, these agents are now encountering their most formidable obstacle: the database.

Andy Pavlo. Credit: Carnegie-Mellon University

“Databases pose...


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The biggest obstacle to enterprise AI isn’t models, data science talent, or even infrastructure. It’s operations.

Across today’s enterprises, hybrid complexity has outpaced IT’s ability to manage it. Applications, workloads, runtimes, and infrastructure now span on‑premises environments, public clouds, edge locations, and air‑gappe...


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