AI & ML

Following the publication of his new book, Building Applications with AI Agents, I chatted with author Michael Albada about his experience writing the book and his thoughts on the field of AI agents. Michael’s a machine learning engineer with nine years of experience designing, building, and deploying large-scale machine learning solutions at companies such as

The following article originally appeared on Medium and is being republished here with the author’s permission. This post is a follow-up to a post from last week on the progress of logging. A colleague pushed back on the idea that we’d soon be running code we don’t fully understand. He was skeptical: “We’ll still be

Quantum computing (QC) and AI have one thing in common: They make mistakes. There are two keys to handling mistakes in QC: We’ve made tremendous progress in error correction in the last year. And QC focuses on problems where generating a solution is extremely difficult, but verifying it is easy. Think about factoring 2048-bit prime

The market is betting that AI is an unprecedented technology breakthrough, valuing Sam Altman and Jensen Huang like demigods already astride the world. The slow progress of enterprise AI adoption from pilot to production, however, still suggests at least the possibility of a less earthshaking future. Which is right? At O’Reilly, we don’t believe in

In 2025 AI reshaped how teams think, build, and deliver software. We’re now at a point where “AI coding assistants have quickly moved from novelty to necessity [with] up to 90% of software engineers us[ing] some kind of AI for coding,” Addy Osmani writes. That’s a very different world to the one we were in