Posts

Working with AI for software development has traditionally felt like working with a brilliant but siloed junior engineer. You give them a file, they suggest a fix. But when it comes to understanding how a change in the backend schema ripples through the frontend API layer and necessitates new integration tests, single-agent systems often hit a wall. Anthropic is breaking this wall with Agent Teams for Claude Code. This isn’t just another feature; it’s a shift in how we think about AI in engineering—away from “chatting with a bot” toward “managing a specialized team.” ...

TypeScript 6 Beta: The “Cleaning‑Up‑After‑Yourself” Release That Sets the Stage for a Go‑Powered TS 7 When the TypeScript team announced the 6.0 beta a few weeks ago, the headlines were… well, there weren’t many. No “Revolutionary New Type System!” or “TypeScript Finally Becomes Faster Than JavaScript!” Just a calm, matter‑of‑fact note that this isn’t a feature‑fest but a transition release. If you’ve ever watched a house‑renovation show, you know the part where the crew pulls out the old drywall, shimmies the new framing into place, and then steps back to let the paint dry. That’s what TypeScript 6 feels like: the team is tearing down some of the cruft that has accumulated over the past decade, tightening the wiring to match the latest ECMAScript standards, and quietly laying the groundwork for a full‑blown rewrite of the compiler in Go for the upcoming 7.0. ...

.NET 11 Preview 1 — What’s New, What’s Exciting, and What Still Feels Rough Around the Edges When Microsoft announced the first preview of .NET 11 last week, the usual mix of “here we go again” and “let’s see what they finally fixed” rippled through the .NET community. I’ve been writing about .NET since the days when “Core” was still a buzzword, so I read the blog post, skimmed the release notes, and then spent a solid afternoon poking around the preview in a fresh console app. ...

OpenAI’s “First Proof” Sprint: How Close Are We to AI‑Generated Mathematics That Holds Up to Peer Review? When I was a kid I used to stare at the back of my high‑school algebra textbook, wondering whether a computer could ever prove a theorem the way a human does—step by step, with a few false starts, a dash of intuition, and the occasional “aha!” moment. Fast‑forward three decades, and the question has stopped being a sci‑fi curiosity and is now landing in the inboxes of mathematicians worldwide. ...

Real‑Time Qubit Watchdogs: How a Copenhagen Team Turned a Millisecond Mystery into a Quantum Advantage When I first walked into the Niels Bohr Institute (NBI) for a “quick chat” with a postdoc, I expected the usual tour of cryogenic rigs, a few chalk‑filled whiteboards, and the occasional joke about Schrödinger’s cat being on a coffee break. What I got instead was a glimpse of a tiny, humming FPGA board that, according to the researchers, could see a qubit’s mood swing in the time it takes you to blink. ...

OpenAI for India: What the Deal Really Means for the Country’s AI Future When I walked into the India AI Impact Summit in Delhi last week, the first thing I noticed wasn’t the glossy stage or the sea of neon‑lit logos. It was the hum of conversations—students swapping ChatGPT shortcuts, startup founders debating whether to hand over code to a language model, and senior Tata executives quietly checking the power draw on their tablets. ...

A New Way to Express Yourself: How Google’s Gemini App Is Turning Text and Photos into 30‑Second Songs When I first tried to make a mixtape for a friend back in the early 2000s, I spent an afternoon hunting for the perfect CD‑burning software, ripping tracks, and then—​the worst part—​writing a handwritten note on the back cover. Fast forward to 2026, and you can generate a brand‑new, custom‑made song in the time it takes to brew a cup of coffee, all from a single line of text or a snapshot of your dog on a hike. ...

Eclipse GlassFish 8 Is Here – The Enterprise‑Java Platform Gets Its Groove Back Published Feb 17 2026 When I first set up a Java EE server back in 2011, the biggest decision I faced was whether to wrestle with the heavyweight “enterprise‑grade” monoliths or to go with a lighter, community‑driven option that would let me actually ship code before the next Java release hit the newsfeeds. Fast‑forward fifteen years, and the landscape looks almost unrecognizable: containers, serverless functions, virtual threads, and a whole new generation of developers who expect “just‑work” from their runtime. ...

Anthropic × Infosys: Building AI Agents That Can Actually Pass the Regulatory Exam When a Silicon‑valley‑born AI lab teams up with an Indian‑grown consulting giant, the result isn’t just another “AI‑for‑business” press release. It’s a test of whether we can finally get generative models to play nicely with the rulebooks that keep our banks, phone networks, and factories from blowing up. Why This Partnership Matters (Even If You’re Not a Tech Exec) Imagine you’re trying to teach a rookie chef how to run a five‑star kitchen. You can hand them a recipe book (the “model”), but unless they understand the health‑code inspections, the timing of a service rush, and the quirks of your particular stove, that book is useless. ...

Apple’s Video‑Podcast Leap: What It Means for Listeners, Creators, and the Future of Audio‑Video Storytelling When I first tuned into Serial back in 2014, I was still figuring out how to keep my earbuds from tangling. Fast‑forward twelve years, and I’m now watching a video‑enhanced episode of The Zane Lowe Show on my iPhone 17 Pro while the train rumbles past the window. The visual component isn’t a gimmick; it’s a whole new way to experience a format that has, until now, been stubbornly audio‑only. ...

Blackwell Ultra: How NVIDIA’s New Chip Is Making Real‑Time AI Agents Cheaper (and Faster) If you’ve ever tried to run a coding assistant that actually understands a whole codebase, you know the feeling: the UI freezes, the latency spikes, and you start wondering whether the model is just being lazy or your hardware is hitting a wall. The good news? NVIDIA just dropped a new generation of GPUs that promise to turn that frustration into a smooth, low‑cost conversation. Below is the low‑down on why Blackwell Ultra matters, who’s already using it, and what it could mean for the next wave of “agentic” AI. ...

Here’s something that used to keep me up at night: why does ChatGPT feel instant, while my own attempts at running a large language model on a cloud GPU felt like waiting for dial-up internet to load a JPEG in 1997? The answer, as it turns out, has very little to do with raw computing power. It’s about memory. Specifically, it’s about moving bytes around in clever ways that would make a logistics expert weep with joy. Welcome to the bizarre, beautiful world of LLM inference optimization. ...