What happens when engineering teams reorganize around AI agents

I counted at least 10 events in San Francisco last night aimed at matching AI startups with VCs. Just another Thursday. But what made Camp AI’s “Agents at Work” event (hosted by Auth0) stand out was its showcase of companies that are in various stages of reorganizing their engineering processes around AI agents. Browserbase, Mastra,…

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When cloud giants meddle in markets

Hyperscale cloud providers are doing what any aggressive buyer with deep pockets would do: purchasing enormous volumes of DRAM and high-bandwidth memory to feed AI factories, new cloud regions, and expanding platform services. By securing supply ahead of competitors, they lock in favorable terms and ensure their growth is not constrained by component scarcity. From…

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12 model-level deep cuts to slash AI training costs

Optimizing artificial intelligence pipelines requires moving beyond surface-level hardware adjustments to fundamentally alter how models process data. While engineers often implement basic toggle-away efficiencies inside the training loop, achieving permanent cost reductions requires architectural changes directly inside the neural network. As I have previously argued, the science is solved, but the engineering is broken; true…

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