Lessons for Agentic Coding: What should we do when code is cheap?
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The Nvidia CEO seems to feel that claims of AI's job-killing potential have been greatly exaggerated.
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The below is a continuation of the series on the history of Expanso. Today, we're talking about the third and final unchangeable law of data: the ever-tightening web of data controls. Read the whole s
Long-running agents tend to fail in the second half. The first step is often fine. Fix a CI failure, open an app, tap a button, search for a keyword. Models can produce a reasonable first action. The
I kept watching the same thing happen. A cloud consultant walks into a meeting. They know exactly what the client needs — better redundancy, smarter failover, real observability. Their solution is tec
Your Next.js project has an AI assistant. The question isn't whether to use AI — it's whether the code it generates follows your project's conventions. This is a hands-on walkthrough. In under 30 min
I Built a Minecraft Mod Where Every Sword is an AWS Service — Here's How We Coded It with AI What happens when a cloud engineer picks up Minecraft modding for the first time? You get swords
This week, Sam Altman announced that Peter Steinberger, creator of OpenClaw, was joining OpenAI. The open-source project would move to an independent foundation. Meta had also bid. Both reportedly off
Early in my time on the Kubernetes team, a customer proposed something that was both brilliant and beyond what we were ready for: a global footprint of clusters, one per region, with a synchronized se
Bridging the Gap: Future Directions for Kubernetes and Distributed Systems When Pokémon GO launched, the world went wild. At Google, we watched as our product, Google Kubernetes Engine, han
The 800 Million Weekly ChatGPT Users Who Are Just Getting Started Here's something that should excite everyone: ChatGPT just hit 800 million weekly active users. That's one in ten humans on
If you've built agentic workflows with LLMs — the kind where a model calls tools, reasons over results, and loops back for more — you've hit the wall. Not the conceptual wall. The very real, very expe