O'Reilly Media

09/09/2026

"AI is changing how fast organizations can move. Ideas that used to take months to build now take days, sometimes hours. That sounds like good news, and it is. But it creates a new problem. When ex*****on is fast, teams can move in many directions at once." Check out article by Jim Kalbach to learn more:

AI is changing how fast organizations can move. Ideas that used to take months to build now take days, sometimes hours. That sounds like good news, and it is.

09/09/2026

In this episode of Zero to Agent in 30 Minutes, Microsoft senior solution engineer Maxim Salnikov walked through the Agent Package Manager (APM), a terminal-driven open source product from Microsoft that treats agent context the way modern software already treats its dependencies: versioning it, pinning it, and checking it before it ships. It’s a technical session, but rather than building an AI agent, you’ll discover how to manage all the customizations you’ve installed for your agents and make them portable, secure, and governed by policies you or your company define. Check it out: https://bit.ly/4A21I9h

Use Agent Package Manager (APM) to bring version control and policy enforcement to your AI agent skills

09/08/2026

When companies let every team experiment with AI independently, they end up with duplicated systems, wasted effort, and no shared foundation to build on. Trail of Bits CEO Dan Guido argues the only way to get a real force multiplier from AI is to centralize it, then use KPIs like "What fraction of your team's data did you make reusable for the rest of the company?" to get everyone contributing to the same system rather than rebuilding it in parallel.

09/08/2026

Trail of Bits runs company-wide hackathons every two months, and the structure is what makes them stick. Before the event, CEO Dan Guido publishes learning objectives for engineers and non-engineers alike; after it, a small team collects every reusable artifact, from Claude Code configs to lessons learned, and feeds them into the company's AI handbook. The institutional knowledge the hackathon generates is the actual deliverable.

09/04/2026

Host Christina Stathopoulos, MSc, founder of Dare to Data and a former data scientist at Google and Waze, returned to This Week in AI with developments that stretched from Claude testing ways to improve model safety to Chinese open weight models gaining developer traffic and new systems learning to model physics. She also examined what Anthropic and OpenAI’s business moves, workforce forecasts, and debates over access reveal about how quickly the AI landscape is broadening. Check it out: https://bit.ly/4x978gc

09/04/2026

Trail of Bits CEO Dan Guido runs a daily report on his company's top AI token consumers and personally reaches out to anyone who spikes past a set threshold, asking whether there's a more efficient way to get the same result. He also uses model routing to control costs, directing tasks like bug-finding in client code to frontier models like GPT-5.5, while offloading simpler work like grammar edits and document formatting to open source models the team hosts itself.

09/04/2026

"Someone is already coining next quarter’s “_____ engineering” term as we speak. But the software engineering processes you use to output real code won’t change that often. That’s why you should be open-minded but at the same time focus on actionable outcomes, not on overthinking how to label things." Check out article by Paul Iusztin to learn more: https://bit.ly/4xf9jyJ

Go from vibe coding to generating clean, maintainable code

09/04/2026

Week 1 of our Software Architecture cohort is in the books!

This week, participants joined instructors Neal Ford and Mark Richards to explore the foundations of software architecture, from architecture vs. design to identifying the architectural characteristics (the “-ilities”) that matter most to a system.

They also put those ideas into practice with their first architecture kata.

Next up: modeling behavior and building a logical architecture.

Missed your chance to join? Sign up to be the first to hear about future opportunities:

Learn software architecture directly from top experts with O'Reilly's immersive six-week cohort.

09/04/2026

What’s happening inside an LLM when it solves a math problem, writes a poem, or infers that “GG bridge” means the Golden Gate Bridge?

On September 9, Anthropic’s Emmanuel Ameisen joins Tim O'Reilly to share what two years of research has shown about Claude’s internal representations. They’ll explore how researchers trace activation patterns, how Anthropic tests and observes said patterns, and what we can and can’t know yet about model behavior.

Register here: https://bit.ly/46GDkMY

09/03/2026

"There is more technical content available today than any human being could read in a thousand lifetimes. Every topic has a dozen YouTube videos, three Substack posts, a GitHub repo, and a Reddit thread, most created in the last six months and, in many cases, technically accurate. And yet most of the professionals I talk to say they don't know what to trust. They can't tell what’s important to read first, or which of 10 plausible answers is the one that holds up. That was true before AI, and AI has made it more true." Check out new byline by our Julie Baron on TechRadar Pro:

We have loads of content, but do we trust it?