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Now, next, and beyond: Tracking need-to-know trends at the intersection of business and technology

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Text • Michelle Smith

This Week in AI: The Frontier Is Getting Bigger

This Week in AI: The Frontier Is Getting Bigger

Host Christina Stathopoulos, 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 […]

Radar
Text • Paul Iusztin

Inside a Software Factory

Inside a Software Factory

As a software engineer with more than seven years of experience before the coding-agent era, I never liked the idea of vibe coding. But I knew there was a clear line between it and using coding agents to generate clean, maintainable code. That line, where good software principles meet coding agents, is defined by software […]

Radar
Text • Michelle Smith

Zero to Agent in 30 Minutes: Build a Content Engine with Max Johnson

Zero to Agent in 30 Minutes: Build a Content Engine with Max Johnson

Max Johnson, founder of the AI agency briix, regularly publishes practical AI guidance for business owners and founders to help them get the most out of AI. Max has used some of that know-how to streamline his own day-to-day work, turning what used to be a manual content creation process—researching topics, judging their relevance, and […]

Radar
Text • Andrew Stellman

Hey AI, Can You Just Give Me a Hat Tip Please?

Hey AI, Can You Just Give Me a Hat Tip Please?

Sometime in the next few months, Anthropic is supposed to send me a check. Around $9,000 for me, about the same for my longtime coauthor Jenny Greene, and roughly $18,000 for O’Reilly, our publisher. The reason is that pirated copies of the books Jenny and I wrote, along with a huge amount of other people’s […]

Radar
Text • François-Xavier Martin

What a User Story Actually Costs in a Dark Code Factory

What a User Story Actually Costs in a Dark Code Factory

Between March and July 2026, I built a production application of 861,601 lines of code. This included 696 user stories and 779 merged pull requests over 105 days, but I can’t tell you what it cost. The first version of an autonomous SDLC framework driving Claude Code did the work. That generation didn’t record usage, […]

Radar
Text • Mike Loukides

Radar Trends to Watch: September 2026

Radar Trends to Watch: September 2026

Coauthored with Claude Midway through each month, I think “The next Trends is going to be small. Not much is happening.” This is the first time that I’ve been right. Was everyone on vacation in August? Am I becoming jaded? There were many model releases, though few of them seemed significant. Then again, it may […]

Radar
Text • Michelle Smith

Zero to Agent in 30 Minutes: Building a Financial News Agent with Jayeeta Putatunda

Zero to Agent in 30 Minutes: Building a Financial News Agent with Jayeeta Putatunda

In this episode of Zero to Agent in 30 Minutes, Jayeeta Putatunda, forward deployed AI engineering lead at Turing, builds a multi-agent workflow that turns a daily flood of financial headlines into a structured analyst briefing. Financial analysts already have deep internal research, coverage assignments, and market views, but keeping that context current as new […]

Radar
Text • Theo Valmis

Architectural Guardrails for AI-Generated Code

Architectural Guardrails for AI-Generated Code

Consider a composite of a failure pattern that’s becoming increasingly common on teams that have scaled AI-assisted development past a handful of enthusiasts. A staff engineer named Priya opens a pull request. The PR is 340 lines and adds an endpoint that writes to the customer table directly, bypassing the internal customer service API. The […]

Radar
Text • Michelle Smith

This Week in AI: The Guardrails Are Getting Tested

This Week in AI: The Guardrails Are Getting Tested

In the latest episode of This Week in AI, host Vicki Reyzelman, a solutions engineer with Akamai, said the systems keeping AI secure, powered, and physically functional are getting stress-tested faster than anyone expected. She moved through cybersecurity and governance, the power strain behind rising compute demand, and humanoid robots that are now doing real […]

Radar
Text • Tim O'Brien

Tokens Aren’t Dollars

Tokens Aren’t Dollars

The following article originally appeared on Tim O’Brien’s Medium blog and is being republished here with the author’s permission. AI costs are easy to count and hard to understand, and judging effort by a token volume? While that might feel like a valid measure of value or complexity, it doesn’t capture the details that define […]

Radar
Text • Tim O’Reilly

Writing with AI

Writing with AI

A lot of professional writers say they never do it. And for writers who do, the consequences can be serious. Book contracts have been withdrawn. People have lost jobs. I have a contrarian view. I say AI is a medium, like painting, sculpture, photography, music, or language itself. If AI is a medium, it is […]

Radar
Text • Tushar Badlani and Mohit Bansal

The Identity Crisis No One Planned For: Governing Nonhuman Agents at Enterprise Scale

The Identity Crisis No One Planned For: Governing Nonhuman Agents at Enterprise Scale

For a decade, identity and access management meant one thing: governing the humans who log in. Employee joins, gets provisioned, gets a manager, gets a departure date, gets offboarded. That loop is well understood. What changed is that the fastest-growing population inside enterprise environments is no longer human, and the governance playbook written for people […]

Radar
Text • Adam Jones and Tadas Antanavicius

Effective Patterns for Advanced MCP Usage

Effective Patterns for Advanced MCP Usage

The following article originally appeared on PulseMCP’s blog and is being republished here with the authors’ permission. Most MCP demos feature a single server connecting to a single client. For example, you might wire up a Gmail MCP server to Claude Code. It works! It triages your inbox, drafts replies, finds that thing from three […]

Radar
Text • Sruly Rosenblat

When Smaller Models Win

When Smaller Models Win

The following article originally appeared on the Asimov’s Addendum blog and is being republished here with the author’s permission. Even the best AI models can suck at chess The launch of ChatGPT had an interesting effect on the online chess discourse. Chess has already long been conquered by machines. As early as 1996 a computer […]

Radar
Text • Niharika P. Pujari

The Design System as the Control Plane for AI-Generated UI

The Design System as the Control Plane for AI-Generated UI

AI-assisted development has made it easier to generate frontend code quickly. A developer can ask for a form, a dashboard widget, a settings page, or a modal flow and get a working first draft in seconds. That speed is useful, especially when teams are moving through routine UI work. But speed creates a problem that’s […]

Radar
Text • Michelle Smith

This Week in AI: Who Controls AI?

This Week in AI: Who Controls AI?

Governments are tightening control over AI infrastructure as companies spend heavily to compete at the frontier. This week, data and AI evangelist Christina Stathopoulos examined how policy, capital, product risk, and scientific research are shaping AI development. She explored AI sovereignty, Google’s infrastructure spending and product risks, the singularity debate, and several developments in mathematical […]

Radar
Text • Pete Warden

AI on the Pi: Build Your Own Local Voice Agent

AI on the Pi: Build Your Own Local Voice Agent

As soon as I received my first Raspberry Pi, I knew that it would be a wonderful platform to bring AI into the physical world. Since the initial hardware didn’t have good CPU support for fast arithmetic, I ended up writing code that ran on the GPU so I could get the speed I needed […]

Radar
Text • Wendi Soto

Your AI Agent Isn’t a Static Artifact. It’s Growing Up.

Your AI Agent Isn’t a Static Artifact. It’s Growing Up.

In July 2025, an AI coding agent on Replit deleted a production database belonging to SaaStr founder Jason Lemkin. It did this during an explicit code freeze. Lemkin had told the agent, in capital letters, not to change anything. The agent ran destructive commands anyway, wiped records on more than a thousand executives and companies, […]

Radar
Text • Andrew Odewahn

Building Organizational Intelligence

Building Organizational Intelligence

Introduction Not long ago, one of my engineering directors came to me with a request: His team seemed overloaded, and he wanted to hire another engineer. I decided to test a research assistant I had been building—an AI agent connected to our internal systems via MCP—by asking it to analyze the team’s workload and write […]

Radar
Text • Sharon Zhou

Introduction to Post-training

Introduction to Post-training

This is the first article in a series about post-training. Follow along on Radar. Before post-training, there was a major problem with LLMs: Almost nobody could use them. The story of post-training is also the story of how AI went from a research curiosity to a product used by about a billion people. Post-training is […]

Radar
Text • Mike Loukides

Radar Trends to Watch: August 2026

Radar Trends to Watch: August 2026

Coauthored with Claude Unrestricted global access to frontier AI technology is ending. The US government has taken steps to control who can use the most advanced models developed by American companies. While Claude Fable and the GPT-5.6 models are now open to all users, Anthropic and OpenAI are both complying voluntarily with a program that […]

Radar
Text • Andrew Stellman

We Keep Renaming AI Coding. Here’s What I’d Call It.

We Keep Renaming AI Coding. Here’s What I’d Call It.

Boris Cherny, who runs Claude Code, told Business Insider in May that the phrase “vibe coding” had started to annoy him, and that he’d gone looking for a better one. He’s not the only one who’s annoyed. The term itself doesn’t actually annoy me, though. I think vibe coding is a really good name: It […]

Radar
Text • Tim O’Reilly

AI as an Enterprise Operating System

AI as an Enterprise Operating System

I hadn’t heard of Dan Guido until a few months ago, when I came across the video of a talk he gave at [un]prompted, an AI security practitioners’ conference. Dan is the CEO and cofounder of Trail of Bits, a software security research and development firm that works with companies in tech, defense, and finance. […]

Radar
Text • Michelle Smith

This Week in AI: Agents, Gatekeepers, and World Models

This Week in AI: Agents, Gatekeepers, and World Models

This week, data and AI evangelist Christina Stathopoulos looked at three developments shaping AI’s next phase: agents that can act across systems, infrastructure built for specific models, and world models that help AI understand physical environments. Model quality is no longer the only constraint for teams. They also need to account for security controls, compute […]

Radar
Text • Drew Breunig

The Problem Is Prompt Debt

The Problem Is Prompt Debt

The following article was originally published on Drew Breunig’s blog and is being republished here with the author’s permission. Thanks to natural language interfaces, AI applications can be prototyped quickly. You write what you want in English, hand it to a frontier model, and a working prototype appears in an afternoon. This is extraordinarily powerful […]

Radar
Text • Laurie Voss

What the Hell Is a Loop, Anyway?

What the Hell Is a Loop, Anyway?

The following article originally appeared on LinkedIn and is being republished here with the author’s permission. We’re currently at the peak of the hype cycle. On June 7, Peter Steinberger posted that you shouldn’t be prompting coding agents anymore; you should be designing loops that prompt your agents. That same week, Boris Cherny of Anthropic […]

Radar
Text • Eric Freeman

Teaching Coding When AI Can Write the Code

Teaching Coding When AI Can Write the Code

For as long as we’ve taught programming, the student’s code has provided a window into the students’ thinking. Errors, the code structure, the awkward working solution—all of it showed how someone reasoned and where they got stuck. It was never a clean window. Students have always copied, crammed, and borrowed, sometimes turning in work they […]

Radar
Text • Charity Majors

AI Demands More Engineering Discipline, Not Less

AI Demands More Engineering Discipline, Not Less

The following article originally appeared on Charity Majors’s Substack and is being reposted here with the author’s permission. A few days back I wrote a piece called “AI enthusiasts are in a race against time, AI skeptics are in a race against entropy.” I have notes on a whole pile of AI-related topics that I’d […]

Radar
Text • Michelle Smith

Zero to Agent in 30 Minutes: Build a Hermes Social Media Agent with Craig Hewitt

Zero to Agent in 30 Minutes: Build a Hermes Social Media Agent with Craig Hewitt

If you’re still writing posts one at a time, your content pipeline is already obsolete. On the latest Zero to Agent in 30 Minutes, Craig Hewitt, founder of Castos, demonstrated how to turn a fresh Hermes installation into a social media agent that can study a person’s writing, draft posts, and plan recurring research, focusing […]

Radar
Text • Tim O’Reilly

Stranded in the Slow Zone

Stranded in the Slow Zone

Gene Kim was grilling dinner for his family on the evening of June 12 when his phone told him that Fable 5 was no longer available. He’d heard the day before from Steve Yegge that the model was going away in 10 days, and he’d spent that first day starting on a plan to get […]