A few years ago, a simple CRUD app, a marketing site, or an internal dashboard could easily justify a $5,000+ freelance invoice. Scoping, architecture, implementation, testing, iteration—it took weeks. Clients accepted that. Now? You open Claude...

Customer service has a memory problem. You call a company, get transferred, and have to repeat your entire story from scratch. You switch from chat to email, and no one on the other end has any context. It's frustrating — and it's been the norm for t...

A new report from F5 shows that most enterprises are running AI in production. The challenge now isn't adoption — it's management. For years, organizations have been experimenting with AI. Testing it. Running proofs of concept. Building internal dem...

I just finished building a deep learning system that identifies pneumonia from chest X-rays with 96% accuracy and an AUC-ROC of 0.99. I ran the entire training process on my MacBook Pro M5 using the GPU acceleration provided by Apple's Metal Perform...

Passkeys authenticate users securely, but they do not prove a user is human. Passkeys replace passwords with device-bound cryptographic authentication. They prevent phishing, credential theft, and password reuse attacks. However, passkeys only verify...

MCP is not a buzzword. It might be the most underrated infrastructure shift happening in AI right now. Most people are still debating which AI model is smartest. Meanwhile, something much quieter — and arguably more consequential — has been taking s...

Working on a microservices-based platform, I kept running into the same frustrating cycle: Something breaks → we figure out the fix in real time → someone says "we should document this" → nobody does → same thing breaks 3 months later. Even when runb...

Lately, I’ve been thinking about the apps I use every day. Mail. Notes. Reminders. Tasks. Calendar. Project management. Invoices. Password manager. Chat. Most of these tools are either owned by big tech companies, locked ...

If you’re building a software product, your deployment process matters from day one. It’s not a “later” problem or just DevOps work in the background. It directly impacts how stable your product is, how fast you recover from issues, and how confident...

Your First Superpower in Tech Have you ever tried to get help from an AI chatbot, like ChatGPT, and received a completely useless answer? It feels frustrating. You know it's powerful, but it doesn't seem to understand you. Think of a Large Languag...

If you're an engineer or architect trying to move AI projects from pilot to production, you've likely hit the same wall: data preparation is eating your budget, timeline, and sanity. Between manually curating datasets, managing governance policies, a...

Most AI coding tools work the same way. A developer spots a problem, writes a prompt, and the agent executes. It's useful. But the developer still drives every single decision. Google appears to be rethinking that model entirely. The company's Jul...

AI Reliability Gap: Why Large Language Models are not for Safety-Critical Systems High benchmark scores are not the same as operational trustworthiness — and in healthcare and defense, that gap can be deadly. We are deploying AI into hospitals and...

Prologue: The Survey Is Interesting. The Misreading Is More Interesting. For years, the AI industry has been busy optimizing for speed, novelty, and substitution. Users, however, may want to consume AI in a very different way. A recent Anthropic su...

If you're an engineer or architect trying to move AI projects from pilot to production, you've likely hit the same wall: data preparation is eating your budget, timeline, and sanity. Between manually curating datasets, managing governance policies, a...

If you're an engineer or architect trying to move AI projects from pilot to production, you've likely hit the same wall: data preparation is eating your budget, timeline, and sanity. Between manually curating datasets, managing governance policies, a...

If you're an engineer or architect trying to move AI projects from pilot to production, you've likely hit the same wall: data preparation is eating your budget, timeline, and sanity. Between manually curating datasets, managing governance policies, a...

If you're an engineer or architect trying to move AI projects from pilot to production, you've likely hit the same wall: data preparation is eating your budget, timeline, and sanity. Between manually curating datasets, managing governance policies, a...

Most enterprise AI projects don't fail because of the model. They fail because the data underneath it isn't reliable, accessible, or well-governed. That's the argument CData Software is making — and at the Gartner Data & Analytics Summit this week in...

Three longtime Lustre developers have formed The Lustre Collective, an independent company focused on advancing the parallel filesystem that powers some of the world's largest supercomputers and AI systems. The company launched at Supercomputing in ...