The day two problem Imagine you deploy an autonomous AI agent to production. Day one is a success: The demos are fantastic; the reasoning is sharp. But before handing over real authority, uncomfortable questions emerge. What happens when the agent misinterprets a locale-specific decimal separator, turning a position of 15.500 ETH (15 and a half) […]

The following article originally appeared on Q McCallum’s blog and is being republished here with the author’s permission. Generative AI agents and rogue traders pose similar insider threats to their employers. Specifically, we can expect companies to deploy agentic AI with broad reach and insufficient oversight. That creates the conditions for a particular flavor of […]

The following article originally appeared on Hugo Bowne-Anderson’s newsletter, Vanishing Gradients, and is being republished here with the author’s permission. In this post, we’ll build two AI agents from scratch in Python. One will be a coding agent, the other a search agent. Why have I called this post “How to Build a General-Purpose AI […]

The following article originally appeared on Wes McKinney’s blog and is being republished here with the author’s permission. Like a lot of people, I’ve found that AI is terrible for my sleep schedule. In the past I’d wake up briefly at 4:00 or 4:30 in the morning to have a sip of water or use […]

For the past two years, I’ve been working with economist Ilan Strauss at the AI Disclosures Project. We started out by asking what regulators would need to know to ensure the safety of AI products that touch hundreds of millions of people. We are now exploring the missing mechanisms that are needed to enable the […]

Not that long ago, we were resigned to the idea that humans would need to inspect every line of AI-generated code. We’d do it personally, code reviews would always be part of a serious software practice, and the ability to read and review code would become an even more important part of a developer’s skillset. […]

This is the second article in a series on agentic engineering and AI-driven development. Read part one here, and look for the next article on April 2 on O’Reilly Radar. The first 90 percent of the code accounts for the first 90 percent of the development time. The remaining 10 percent of the code accounts […]

Background: Stacks with four-letter acronyms According to Wikipedia, the LAMP stack was coined in 1998 by Michael Kunze to describe what had emerged as a popular open source software stack for websites. When the World Wide Web exploded in popularity earlier in the ’90s, organizations used an ad hoc mixture of proprietary tools and operating […]

The following article originally appeared on Angie Jones’s website and is being republished here with the author’s permission. I’ve been seeing more and more open source maintainers throwing up their hands over AI-generated pull requests. Going so far as to stop accepting PRs from external contributors. If you’re an open source maintainer, you’ve felt this […]

Dark web forum posts mentioned the phrase “AI agent” far more in the second half of 2025 than in the first half. Could this mean that fraudsters are charmed by the AI hype? Or is AI truly a game changer for cybercrime? AI-related discussions—evident both in what “the bad guys” are saying and in what […]

On March 26, Addy Osmani and I are hosting the third O’Reilly AI Codecon, and this time we’re taking on the question of what software craftsmanship looks like when AI agents are writing much of the code. The subtitle of this event, “Software Craftsmanship in the Age of AI,” was meant to be provocative. Craftsmanship […]

A few years into the AI shift, the gap between engineers is not talent. It’s coordination: shared norms and a shared language for how AI fits into everyday engineering work. Some teams are already getting real value. They’ve moved beyond one-off experiments and started building repeatable ways of working with AI. Others haven’t, even when […]

Post-training gets your model to behave the way you want it to. As AMD VP of AI Sharon Zhou explains to Ben on this episode, the frontier labs are convinced, but the average developer is still figuring out how post-training works under the hood and why they should care. In their focused discussion, Sharon and […]

My “Live with Tim” conversation with Steve Yegge this week was one of those sessions where you could imagine the audience leaning forward in their chairs. And on more than one occasion, when Steve got particularly colorful, I imagined them recoiling. Steve has always been one of the most provocative thinkers in our industry, going […]

In November 2025, Austrian developer Peter Steinberger published a weekend project called Clawdbot. You could text it on Telegram or WhatsApp, and it would do things for you: manage your calendar, triage your email, run scripts, and even browse the web. By late January 2026, it had exploded. It gained 25,000 GitHub stars in a […]