To Regulate or Not to Regulate: AI's Data Diet and the Case for Government Snack Supervision

To Regulate or Not to Regulate: AI's Data Diet and the Case for Government Snack Supervision

Picture this: you’re training an AI model like it’s a particularly chatty parrot. You feed it 10,000 romance novels, and suddenly it starts spitting sonnets. Give it 4chan archives, and… well, let’s just say you’ll need ethical mouthwash. This is why I argue governments need to be the nutritionists of AI’s data diet - because left unsupervised, our models might develop ideological scurvy. The Great Data Buffet: Why Regulation Isn’t Optional AI models munch data like competitive eaters at a hotdog contest....

May 11, 2025 · 3 min · 550 words · Maxim Zhirnov
Why Your Test Automation Obsession Might Be Costing You Pizza Money

Why Your Test Automation Obsession Might Be Costing You Pizza Money

Picture this: You buy a $5,000 industrial chainsaw to slice your morning bread. Your neighbor uses a $10 kitchen knife. Who’s the real winner here? Welcome to the world of test automation overkill - where we’ll explore when manual testing isn’t just good enough, but actually better than its flashy automated cousin. When Manual Testing Outshines Automation (And Saves Your Sanity) Let’s cut through the buzzword buffet and examine three scenarios where manual testing isn’t just sufficient - it’s superior:...

May 10, 2025 · 4 min · 693 words · Maxim Zhirnov
The Codefather's Guide to Spotting AI-Generated Devs in the Freelance Wasteland

The Codefather's Guide to Spotting AI-Generated Devs in the Freelance Wasteland

Picture this: you’re sifting through freelance profiles looking for a Python wizard, and suddenly you find someone who claims to have “invented asynchronous programming using only COBOL and a potato battery.” Congratulations - you’ve just encountered the T-1000 of tech talent. Let’s talk about the elephant in the GitHub repository: AI-generated fake developers are turning freelance markets into a zombie apocalypse. How Fake Devs Are Born (And How to Perform a Tech Exorcism) graph TD A[Basic Profile Template] --> B[GPT-5 Profile Generation] B --> C[AI Face Generator] C --> D[Automated Code Samples] D --> E[Fake Commit History] E --> F[Profile Automation Tools] F --> G{Marketplace} The recipe for creating a fake developer profile in 2025 is simpler than your morning coffee routine:...

May 10, 2025 · 3 min · 544 words · Maxim Zhirnov
Building Bulletproof APIs: A Go(lang) Odyssey Through Clean Architecture

Building Bulletproof APIs: A Go(lang) Odyssey Through Clean Architecture

Picture this: you’re building an API that needs to outlive framework trends, survive database migrations, and withstand the inevitable “let’s rewrite everything in Rust” meetings. Welcome to Clean Architecture in Go - where we separate concerns like diplomats dividing contested territory. Today, we’ll craft a TODO API that’s more organized than my grandma’s spice rack. Laying the Foundation Start by creating our project skeleton: go mod init github.com/yourname/todo-clean Now let’s install our digital survival kit:...

May 9, 2025 · 3 min · 605 words · Maxim Zhirnov
Microservices Madness: When Your Distributed System Starts Haunting You

Microservices Madness: When Your Distributed System Starts Haunting You

Let me tell you a horror story about that time we built a beautiful microservices architecture… and accidentally created Frankenstein’s distributed monolith. Spoiler alert: Our Kubernetes cluster needed an exorcism. The Zombie Monolith Apocalypse 🧟♂️ Picture this: You’ve successfully convinced management to ditch the monolith. Teams are chanting “DDD! Bounded contexts! Cloud native!” You deploy 42 shiny new microservices… only to discover they’re holding hands tighter than teenagers at a horror movie....

May 9, 2025 · 3 min · 542 words · Maxim Zhirnov