AI’s rapid expansion is creating problems across the industry, from chip shortages to autonomous agents that exceed their instructions. On the latest episode of This Week in AI, we examined those challenges alongside growing regulatory scrutiny and an emerging debate about whether AI systems themselves might deserve protection. Chip production can’t match AI demand AI […]

Spend a week with almost any infrastructure team in 2026 and you’ll see one AI subscription producing five very different results. One engineer opens 40 pull requests before lunch across repositories they haven’t touched in a year. Another ships a Terraform change they couldn’t explain in a code review. A third hasn’t opened the tool […]

Created by Claude with light editing by Tim O’Reilly Raffi Krikorian, Mozilla’s CTO, joined Tim O’Reilly at our recent AI Codecon to talk about open source AI. Mozilla, of course, is the nonprofit that helped to define the open source revolution back in the late 1990s. Though its Firefox web browser was superseded as the […]

The following article originally appeared on the Vanishing Gradients Substack and is being republished here with the authors’ permission. Stripe’s Minions turn engineering requests into candidate pull requests. Ramp’s Inspect puts coding agents to work in the background, with tools to check their changes. Warp Factories takes work from tickets and chat through agents, checks, […]

If you’re an instructor for the O’Reilly live training platform, you’ve got to be prepared for the unexpected. As a developer I think we all can understand the situation when a demo (you know, the one that you’ve tested a thousand times on your machine) easily decides on its own to go wrong while being […]

Artificial intelligence has changed cybersecurity permanently. While OpenAI’s inadvertent attack on Hugging Face brought AI-generated attacks to everyone’s attention, AI has been on security professionals’ radar for a long time. AI makes attacks possible at a scale that was hard to imagine a few years ago. Newly discovered zero-days can be exploited almost immediately. Deepfakes […]

In my work with G7–G12 students at Force Academy, a research initiative in Chongqing, I sometimes take a project that appears to be finished and give another student responsibility for using, checking, or modifying it. The handoff is a test of understanding: Can the work still make sense when its creator is no longer there […]

One of my biggest pet peeves is the Monday morning quarterback, the person who second-guesses every coaching decision after the fact. In The Monday Morning Agent, we’re building one that actually checks the data. Every other Monday, I’ll take an argument NFL fans can’t stop having and hand it to an AI agent. We’ll use […]

This summer, I built a small experiment called ContextCue. The idea came from something I kept seeing during my internship. The engineers around me were using AI everywhere in the software development process. GitHub Copilot and Claude models helped with specs, code, reviews, and tests. The team also maintained reusable skills that taught coding agents […]

New AI tools are making business data easier to explore. They’re also giving researchers new ways to study disease outbreaks and physical systems. On the latest episode of This Week in AI, we examined developments from OpenAI, Anthropic, and Mistral, new research on the economics of robotics, and how scientists are using AI to tackle […]

In my previous article, I argued that agentic development needs enough specification to make correctness checkable. A quick prompt can get implementation started quickly, but someone still has to decide whether the result does what we wanted. I left a fairly practical question unanswered, though. Once the agent has written the code, how should we […]

AI makes it possible to generate code faster than teams can understand and support it. In this episode, Honeycomb cofounder and CTO Charity Majors joined Ben to discuss how that shift changes the work of building reliable software. Charity explained how observability helps teams connect changes with outcomes, why nondeterministic systems need “more rigor, not […]

The following article originally appeared on Addy Osmani’s Elevate blog and is being republished here with the author’s permission. For much of human history, we’ve evaluated code quality via code review: Someone reads what you wrote and makes sure it’s clean, thoughtful, fast, understandable, and tests well. For agents, that approach doesn’t scale well; there’s […]

I use AI for writing all the time. But not because it’s good at writing. In fact, just the opposite is true. AI is so reliably bad at writing that I’ve actually taken advantage of that, and made its bad writing an integral part of my writing process. I’ve written a lot of books and […]

In my previous Radar article, “Architectural Guardrails for AI-Generated Code,” I argued that AI coding agents need a layer that can hold architectural decisions in a structured corpus, retrieve the relevant ones, put them into the agent’s context before it writes code, and enforce explicit constraints with reproducible checks. Testing that model exposed two distinctions […]

In addition to the nearly constant stream of model releases, in September we’ve seen price drops, new kinds of models, proofs of long-standing problems in mathematics, and continued investigations into models escaping their sandboxes. (Axios reports investigations into over 10,000 incidents.) AI has infinite patience and is fundamentally probabilistic. Given a difficult or impossible task […]

Developers already have useful capabilities exposed through REST APIs. The Model Context Protocol (MCP) lets developers make those capabilities available to AI clients without rebuilding the underlying application. In this episode of Zero to Agent in 30 Minutes, Bruce Hopkins, an AI developer, author, and longtime software educator, shows how to do that with an […]

The following article was originally published on the Agentic AI Foundation blog site and is being republished here with the author’s permission. A customer asks your company’s AI agent to update the shipping address on account 123. The agent relies on a support ticket with a typo and updates account 132 instead. The customer relationship […]

On the latest episode of This Week in AI, host Vicki Reyzelman, a senior solutions engineer at Akamai, traced a common problem across cybersecurity, energy, model releases, consumer hardware, and regulation. AI agents can now probe networks, coordinate with other agents, make purchases, and interact with real-world systems faster than many organizations can respond. We’re […]

The following article originally appeared on Duncan Davidson’s blog and is being republished here with the author’s permission. Decision records give coding agents durable project context—as long as they don’t turn every decision into a courtroom transcript. Architectural Decision Records (ADRs) help human teams establish rules and carry context forward in software projects. They capture […]

The following article originally appeared on Robert Englander’s blog site and is being reposted here with the author’s permission. The software industry has become deeply focused on autonomous AI systems. Agents that can replace workers. Agents that can write software. Agents that can operate applications on our behalf. Entire startups are now built around the […]

The following article originally appeared on Vanishing Gradients and is being republished here with the authors’ permission When an AI agent can explore a dataset, choose a modeling approach, run the analysis, and explain its findings, what should the data scientist do? Traditionally, data scientists chose each step and implemented much of the analysis themselves. […]

AI can now generate a surprising amount of frontend code from a short description. A developer can ask for a form, a table, a modal, a settings page, or a dashboard view and get something that looks usable almost immediately. It may compile, render, and even arrive with a few tests. That is useful, but […]

I’ve known Jesse Vincent for more than 20 years, since the days when I was still editing and publishing Perl books and organizing the Perl Conference and he was the chief maintainer of Perl 5 and the project manager for Perl 6. We’d lost touch, but he rocketed back into my consciousness last October when […]

This post isn’t about OpenAI’s use of AI to solve the Navier-Stokes problem, one of the Millennium Prize problems, at least not directly. I’m not a mathematician; I have a vague understanding of the problem and certainly no understanding of the proof. But the discussion surrounding the solution crystallized some of my own thoughts about […]

The buildings and physical infrastructure for a new hyperscale data-center region are complete. Power is live and redundant, the cooling loops are balanced, the network fabric is up, and tens of thousands of machines are racked, cabled, and reporting healthy. Every milestone on the construction schedule is closed. The region will not carry production traffic […]

In the most recent episode of Zero to Agent in 30 Minutes, AI engineer Sajal Sharma showed how to use a remote sandbox to let your agents install software, run commands, and control a browser without endangering your everyday machine. In effect, you’re giving your agents a computer of their own. Sajal demonstrated both approaches […]

I’ve been thinking about a gap in the way we discuss graphs in AI. Most of the conversation starts after the graph already exists. We talk about graph neural networks, GraphRAG, graph agents, and graph foundation models. We spend much less time on the step that determines what all of them can do: turning raw […]

The following article originally appeared on Elevate and is being reposted here with the author’s permission. A software factory is a repeatable loop around software work. If you’re building a software factory, code good enough to ship still needs human taste and ownership. We’ll discuss this including whether you need a factory just yet. If […]

AI systems are gaining access to more tools and data, raising new questions about oversight and accountability. This Week in AI host Christina Stathopoulos spent this episode examining how those questions are playing out in model safety, government oversight, and even digital marketing. Safety needs more than safer models Anthropic’s latest threat report documented misuse […]