Cloud computing, clusters, containers, Kubernetes, Helm ...
I’ve been writing code for more years than I care to admit. Somewhere along the way the joy got buried under context-switching hell: jump to terminal, paste the same prompt for the third time, scroll through walls of logs, copy-paste diffs back into the editor, then
Tired of powerful AI coding agents trapped in the terminal? You fire up Grok Build, start an ambitious refactor, and suddenly you’re juggling sessions, scrolling through dense output, and wishing you could just see the plan, the diffs, and your project context in one beautiful place. That frustration
The first week of February 2026 has been wild for anyone building native Apple apps. New tools and models dropped almost simultaneously, pushing agentic coding forward faster than ever. Some excite me massively; others show promise but need polish. Here’s the quick rundown. OpenAI’s Codex App
MCP Apps , the newly released extension to Anthropic's Model Context Protocol (MCP) , is a game-changer for how we interact with AI. Announced as officially live on January 26, 2026, it lets tools deliver rich, interactive user interfaces directly inside AI chat windows like Claude.ai—instead
I've been deeply into "vibe coding" in my free time – describing your app idea in natural language and letting AI generate working code. It's incredibly powerful for rapid prototyping. But when it comes to iOS, most tools have disappointed me. They typically: Generate
January 2026 has been a wild ride in the AI world—think of it as the month when bots stopped chatting and started doing stuff, leaving us humans to ponder the big questions like "Why is the universe expanding faster than my to-do list?" xAI'
Introduction Picture this: You're elbow-deep in orchestrating a massive Kubernetes setup for a high-stakes client. Routing traffic in and out? That's the job of the reliable old Ingress NGINX controller—the open-source Swiss Army knife that's been quietly keeping services
Man, it's hard to believe it's been exactly a decade since that chaotic Deis hackathon where a few of us scribbled out the first sketches of what would become Helm. Back then, it was just a wild hunch: why not package up Kubernetes apps like they&
Picture this: You're buried in a massive project, tabs multiplying like rabbits on a deadline. One's demanding a quick AI refactor, another's pleading for some multi-agent magic, and the third? It's firing off isolated experiments in Docker without so much as
Hey there, fellow code wrangler. Remember that late-night stare-down with a bug that's basically flipping you the bird? Your IDE's bloated, your coffee's cold, and the only thing keeping you sane is the glow of your terminal. Now imagine if that terminal
By Rimantas Mocevicius (rimusz), Co-Founder of Helm Introduction: A Decade of Steering Through the Kubernetes Storm Imagine this: It's October 2015, and you're at a cozy off-site hackathon in Boulder, Colorado, surrounded by the brilliant minds behind Deis, a pioneering PaaS on Kubernetes. You&
Hey there, fellow code wranglers and app dreamers—remember when I gushed about turning Grok's laser-sharp prompts into a shiny App Store debut with Rork? That was the thrill of vibe coding at its cloud-sipping best: describe your dream fitness app, hit generate, and boom&
Hey, fellow code wranglers and prompt whisperers. Picture this: You're knee-deep in a deadline, your IDE is screaming like a toddler denied candy, and suddenly, an AI agent swoops in. It doesn't just suggest a fix—it debugs your code, deploys to prod, and
Imagine a world where your to-do list isn't a solitary grind but a bustling orchestra of intelligent agents, each tackling a slice of the chaos in perfect harmony. No more staring at a blank screen, wondering where to start on that sprawling project—AI steps in,
Imagine you're a space explorer, charting new galaxies with nothing but a trusty spaceship and a map. In the Kubernetes universe, Helm is that map, guiding you through the chaos of deploying and managing applications. Helm, the Kubernetes package manager, has been a staple for DevOps engineers, simplifying