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The model is the engine

The New Software Lifecycle

The following article originally appeared on Addy Osmani’s blog and is being republished here with the author’s permission. I cowrote a Google whitepaper about how AI is changing the software lifecycle. I’m not going to summarize the whole thing. Instead, here are the handful of ideas in it I think actually matter, plus six figures […]

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The Open-Source minimum viable agent stack in 2026

The Open Source Agent Toolkit in 2026

The following article originally appeared on Paolo Perrone’s Substack, The AI Engineer, and is being republished here with the author’s permission. You spent three weeks shipping an agent. It worked in the demo. Then production hit, and you realized the framework you picked has no checkpointing, the memory layer is a flat vector dump with

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The Frontend Verification Gap in AI-Assisted Development

AI-assisted development has made frontend work feel much faster. A developer can ask for a form, a dashboard card, a table, a modal, or a responsive layout and get a decent first version almost immediately. The code may compile. The page may render. At first glance, the UI may look done. But frontend developers know

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This Week in AI: Chips, Checks, and Changing Jobs

This week data and AI evangelist Christina Stathopoulos returned for a solo news briefing. Instead of exploring one or two topics in depth, Christina sorted the week’s headlines into a handful of threads: advances in physical hardware to keep up with AI demand, the widening reach of government oversight into frontier model companies, and a

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feedback to goodhart

AI Enthusiasts Are in a Race Against Time, AI Skeptics Are in a Race Against Entropy

The following article originally appeared on Charity Majors’s Substack and is being republished here with the author’s permission. I recently attended a talk where one of the presenters made some pretty…astonishing claims about what they had achieved by the pure, uncut power of vibe coding. Difficult engineering problems solved, backlogs cleared. Rewrites that would have

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Agent work: Total cost vs specification completeness

Why AI Coding Agents Still Need Clear Specs

The following article originally appeared on Markus Eisele’s newsletter, The Main Thread, and is being republished here with the author’s permission. There’s a mental model spreading through the developer community right now that goes something like this: Agents are smart enough to figure things out, so heavy upfront specification is bureaucratic overhead you don’t need

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MACHINE SHOP NORTH/NORTHEAST INCLUDING OVERHEAD LINE SHAFTING. MOSTLY BELT DRIVEN WITH ONE ROPE DRIVEN LATHE IN MIDDLE GROUND. POWER COMES FROM KNIGHT TURBINE ON FAR WALL. This image is available from the United States Library of Congress

Ordinary Engineers, Not Heroic Inventors

In the 1980s, Japan led the world in semiconductors, consumer electronics, and computer hardware, the industries everyone assumed would decide the next phase of economic power. Japan won them and still did not overtake the United States in the information revolution that followed. Jeff Ding, a political scientist at George Washington University, opens his book

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This Week in AI: Multivendor Strategy

This episode of This Week in AI arrived at a moment when the AI infrastructure most teams take for granted suddenly looked a lot less stable. Andreas Welsch, founder and chief human AI officer at Intelligence Briefing, was joined by Matt Palmer, head of developer experience at Conductor and developer educator on LinkedIn Learning, to

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