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2025 LLM Year in Review
2025 Year in Review of LLM paradigm changes
If users notice your software, you’re already a loser
Nobody wants a computer. They want what it does. Not the annoying machine. Including phones. I just got a new phone, a Fairphone 5. It’s a nice phone! And Fairphone will even sell you it with the G…
Features for no one (AI edition)
What the **** does that mean?
Where do we learn how to write?
Writing isn’t just a way of communication. It is a way of learning about yourself and learning how to show up, how to speak, how to develop and wrestle with ideas. Learning to write is enabled by g…
The $2 Billion Paperwork Problem AI Is Finally Solving | Robots.net
AI is reshaping healthcare credentialing by automating verification, cutting approval times from months to days, and reducing billions in lost revenue.
Bruce Sterling on Ancient Everyday Weirdness
The ever-enlightening Bruce Sterling recently published a piece on Medium titled Ancient Everyday Weirdness, which is part of a series of essays on different kinds of everyday weirdness. In the pie…
Information is still free - The History of the Web
Blogging is so fundamentally native to the web that twenty years of commoditization has left it relatively untouched. We share information, freely.
8 plots that explain the state of open models
Measuring the impact of Qwen, DeepSeek, Llama, GPT-OSS, Nemotron, and all of the new entrants to the ecosystem.
LEGO’s smart brick is a tiny, self-aware computer – and it doesn’t need a phone
The LEGO Smart Brick looks like any other 2×4. Same size. Same satisfying *click*. But inside? A 4.1mm ASIC — smaller than a grain of sand — running a real-time Play Engine that fuses motion, light…
Introducing LEGO SMART Play, with tiny intelligent bricks
The LEGO Group has introduced LEGO® SMART Play™, a new play innovation that brings LEGO creations to life like never before. The platform is powered by the LEGO SMART Brick, which is packed with gr…
Bad programmers are about to become very exposed
The tide is going out - maybe for more than just programming
The Rise of the Cognitive Architect
In this episode of The New Stack Makers, we discussed how AI is reshaping developer roles, why GitLab is building an agent orchestration platform, and what the "meta agent" of the future might look like.
The Liskov Substitution Principle does more than you think
It's more than just the L in SOLID!
Bryan Cantrill: How Kubernetes Broke the AWS Cloud Monopoly
By introducing a vendor-neutral orchestration layer, Kubernetes shattered the "API lock-in" that once made AWS’s market dominance appear insurmountable.
Serverless Cloud Architecture Is Failing Modern AI Agents
As AI agents pushed into production, it became clear the serverless approach could not support them. Agents violate the assumptions that made serverless attractive.
From Pets to Cattle: The New Mindset for Managing VMs
Moving VM workloads to Kubernetes with KubeVirt is more than a technology shift; it's an operational evolution.
What It Takes To Scale AI Agents in Production
It’s not about picking the smartest model, but building a governed playbook required to scale from pilot to production without drowning in glue code.
How Advanced Autopilots Make Airplanes Safer When Humans Go AWOL
It’s a cliché in movies that whenever an airplane’s pilots are incapacitated, some distraught crew member queries the self-loading freight if any of them know how to fly a plane. For sm…
Schematics Detailing What Looks Like the Mythical PowerBook G5 Have Appeared - 512 Pixels
This coming weekend marks the 20th anniversary of Apple unveiling the first Intel Macs, which included the MacBook Pro that replaced the PowerBook G4.1 It was no secret that Apple couldn’t shoehorn a G5 into a laptop, but very few details are known about that project’s progress. That may have changed. A user by the […]
What drives your cloud security strategy?
As cloud breaches increase, organizations should prioritize skills and training over the latest tech to address the actual root problems.
Generative AI and the future of databases
Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to overcome these challenges, and how AI-native databases will help bridge the gap.
On Customer Captivity
Think about all the things that give you global scale online: The Internet The Web Email RSS Cash Credit Now think about what traps you: Every loyalty, membership, and rewards program Every subscri…
Why Didn’t AI “Join the Workforce” in 2025? - Cal Newport
Exactly one year ago, Sam Altman made a bold prediction: “We believe that, in 2025, we may see the first AI agents ‘join the workforce’ ... Read more
The Data Triangle - Announcing nestjs-zod v5
Introducing "The Data Triangle" - a principle for keeping run-time, compile-time, and docs-time API representations in sync using nestjs-zod.
MCPs for Developers Who Think They Don't Need MCPs
The following article originally appeared on Block's blog and is being republished here with the author’s permission.Lately, I've seen more
Language is the new UI | ByteSauna
LLMs aren’t minds or agents—they’re interfaces. An argument for viewing AI as an abstraction layer, not artificial intelligence.
Functors, Applicatives, and Monads: The Scary Words You Already Understand
Demystifying the most feared terms in functional programming - and how Elm teaches these concepts without ever mentioning them
HP-UX hits end-of-life today, and I’m sad – OSnews
Agents didn't kill libraries—they just changed the math
I've been writing software long enough to remember when "don't reinvent the wheel" was gospel. Find a library. Import it. Move on. The assumption was clear: someone else's maintained code beats your one-off implementation every time.
That assumption is breaking down. Not because libraries got worse—they didn't. Because agents