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The Economics of Agentic AI: Engineering for Imperfection

The price of adoption euphoria You played entirely by the book. You procured the most capable enterprise models, mandated adoption across your teams, and put the right metrics in place. The promise was a predictable boost in efficiency. And at first, it delivered. The demos were flawless. The prototypes worked. The agents reasoned with a […]

You Probably Won’t Read This Article…and That’s OK

β€œHelp! There are too many [LLM bug reports, blog posts about LLM bug reports, books, treatises, codices, scrolls, papyri, cuneiform tablets]! How do I choose which to read?”  β€”Many people, presumably Stop there! If you are reading this, ask yourself how you got here. Did Substack’s algorithm recommend this article for you? Did a juicy […]

The Meter Was Always Running

The first expensive agent run doesn’t look like a governance problem. It looks like a billing problem. A team opens its first agent invoice after the meter turns on, sorts the runs by cost, and finds one that cost 40 times the median. The provider meter shows tokens and a total. The application logs say […]

Stop Overengineering Your Agent Harness

The following originally appeared on Hugo Bowne-Anderson’s Vanishing Gradients Substack and is being republished here with the author’s permission. The conversation around harness engineering is dominated by problems from coding and personal agents such as OpenClaw, but most agents are simpler. Builders should avoid over-engineering for capabilities that newer models may absorb anyway, the β€œKirby […]

My AI Kept Pushing Me to Ship, So I Asked It Why

I’ve been working on the Quality Playbook, my open source AI skill that uses quality engineering to find bugs that normal AI code review misses, and I recently had a batch of work that turned into a long run of point releases. I was using Claude Cowork as the orchestrator: planning scope, dispatching instructions to […]

The Tokens You Can’t Wait For

Somewhere in a Singapore data center, a bank is paying for eight H100s that spend most of the night waiting. The cluster was bought for good reasons (discomfort with customer documents leaving the building, a strategy team’s aversion to lock-in), so the bank secured its own sovereign compute. Now the finance team is asking why […]

The Right Amount of Spec for Agentic Development

I keep seeing the same idea in conversations about agents: Detailed specs are old-world overhead now. Give the model a rough goal, let it explore, fix what comes back, move on. It sounds efficient but it also hides the cost. A simple prompt looks cheap and tempting because it gets implementation started right away. Then […]

Coding Was Never a Bottleneck

AI has taken software development by storm.Β Between the two of us, we build products for software engineers and consumer products for millions of everyday users, so we have skin in the game. We want the AI productivity story to be true. More output, tighter timelines, happier and more productive engineers. Who wouldn’t? But when we […]

Don’t Neglect the Operational Groundwork

Autonomous agents are moving faster than the field’s ability to govern them, and catching up requires more than better prompts or bigger sandboxes. At O’Reilly’s recent AI Superstream focused on OpenClaw and the broader ecosystem of locally run and self-hosted AI agents, five speakers, each working at a different layer of the stack, explored patterns […]

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 […]

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 […]

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 […]

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 […]

Prompt Injection to Data Exfil in 3 Hops

The incident that should worry you makes no destructive call. Nothing is deleted, nothing crashes, no alert fires. An employee asks an agent to summarise a customer ticket; the agent does exactly that, the user gets a useful answer, and somewhere, in the same second, a customer record leaves the cluster over an ordinary HTTPS […]

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 […]

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 […]

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 […]

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 […]

Guidelines for Respectful Use of AI

The following article originally appeared on Medium and is being republished here with the author’s permission. As companies adopt AI tools, a lot of time is spent on thinking about AI policies from a security, compliance, or even cost-focused angle. But many leaders are neglecting to address how their teams should work with AI in […]

The End of Tokenmaxxing

The practice of tokenmaxxing appears to be dying out, even before I had a chance to write about it. Good riddance. Burning tokens to create the appearance of productivity was fated to last only until the accountants learned about it, and the strictest of all accountants is one’s personal checkbook. What got many developers thinking […]
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