Andrew Stellman    The Model Context Protocol (MCP) is genuinely useful. It gives people who develop AI tools a standardized way to call functions and access data from external systems. Instead of building custom integrations for each data source, you can expose databases, APIs, and internal tools through a common...

Nicole Butterfield    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...

Ben Lorica and Ksenia Se    As the founder, editor, and lead writer of Turing Post, Ksenia Se spends her days peering into the emerging future of artificial intelligence. She joined Ben to discuss the current state of adoption: what people are actually doing right now, the big topics that got the most traction this year, and...

Tim O'Brien    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...

Mike Loukides    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....

Tim O’Reilly and Mike Loukides    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...

Megan Laddusaw    As to be expected, AI was everywhere at KubeCon CloudNativeCon in Atlanta this year but the real energy was focused on something less headline-grabbing and more foundational: solving everyday operational challenges. Amid the buzz about intelligent systems and futuristic workflows, practitioners...

Louise Corrigan    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...

Pragya Keshap    When AI systems were just a single model behind an API, life felt simpler. You trained, deployed, and maybe fine-tuned a few hyperparameters. But that world’s gone. Today, AI feels less like a single engine and more like a busy city a network of small, specialized agents constantly talking to each...

Tim O’Reilly    The debate about open source AI has largely featured open weight models. But that’s a bit like arguing that in the PC era, the most important goal would have been to have Intel open source its chip designs. That might have been useful to some people, but it wouldn’t have created Linux, Apache, or...

Mike Loukides    November ended. Thanksgiving (in the US), turkey, and a train of model announcements. The announcements were exciting: Google’s Gemini 3 puts it in the lead among large language models, at least for the time being. Nano Banana Pro is a spectacularly good text-to-image model. OpenAI has released its...

Tim O'Brien    The following article originally appeared on Medium and is being republished here with the author’s permission. Don’t get me wrong, I’m up all night using these tools. But I also sense we’re heading for an expensive hangover. The other day, a colleague told me about a new proposal to route a...

Ben Lorica and Abi Aryan    MLOps is dead. Well, not really, but for many the job is evolving into LLMOps. In this episode, Abide AI founder and LLMOps author Abi Aryan joins Ben to discuss what LLMOps is and why it’s needed, particularly for agentic AI systems. Listen in to hear why LLMOps requires a new way of thinking...

Neal Ford and Mark Richards    One of the principles in our upcoming book Architecture as Code is the ability for architects to design automated governance checks for important architectural concerns, creating fast feedback loops when things go awry. This idea isn’t new Neal and his coauthors Rebecca Parsons and Patrick Kua...

Jeremy Howard    The following originally appears on fast.ai and is reposted here with the author’s permission. I’ve spent decades teaching people to code, building tools that help developers work more effectively, and championing the idea that programming should be accessible to everyone. Through fast.ai, I’ve...