Learning

Why the Best Thing You Can Do as a Programmer Is Learn a Language You’ll Never Use

The languages you use every day have installed assumptions so deep you can’t see them. Seven Obscure Languages in Seven Weeks isn’t about adding tools to your rĂ©sumĂ© — it’s about breaking your mental model wide open. Concatenative stack programming, array languages, choreographic systems — these aren’t hipster indulgences. They’re cognitive defibrillators that remind you computation is infinitely wider than the corner you’ve been living in.

AI Isn’t Making You Dumber. It’s Making You a Passenger.

AI isn’t making you stupid—it’s making you a passenger in your own work. When you outsource the productive struggle, you lose the deep understanding and ownership that make expertise possible. The real danger isn’t job loss; it’s the quiet erosion of your ability to think for yourself.

The Game That Turns Memorization Into a Superpower

Memo Dungeon turns the cognitive skill of memorization into a roguelike combat mechanic. It’s a gamified memory palace that rewards discipline over reflexes, making you forget you’re training your brain. The result is a compulsive, addictive game that proves memorization is the most underrated superpower in design.

The Real Reason You Should Learn Sed (It Has Nothing to Do with Productivity)

Learning sed isn’t about efficiency—it’s about belonging. The real value of mastering a command-line tool like sed is the tribal identity and intellectual satisfaction it provides, something AI tools like Claude cannot replicate. As automation takes over, choose skills that connect you to craft and community.

You Don’t Need More Math to Break Into AI. Here’s What You Actually Need.

The engineers who succeed in AI aren’t the ones who memorize every model architecture — they’re the ones who understand the full engineering loop: data, evaluation, deployment, and iteration. This article explains why treating AI as a systems problem, not a math problem, is the real path to breaking into the field.

You’re Wrong About Go: The ‘Tedium’ You Hate Is Actually the Best Part

Go’s error handling feels tedious, but that friction is intentional. The language forces you to pay the cost of correctness upfront, saving you from runtime disasters. Learning Go isn’t about memorizing syntax—it’s about learning to value constraints as safeguards. The trait that annoys you most is the very trait you’ll eventually depend on.

Why Most Rust Tutorials Are Dead — And One That’s Not

Most Rust tutorials are abandoned after release. One site, learning-rust.github.io, has been rewritten by humans to match Rust 2024 — proving that the real value of a learning resource is not its creation, but its continuous maintenance. For anyone struggling with Rust’s steep learning curve, this is the guide that actually works today.

“Learning AI” Is a Trap. Here’s Why Chasing Tools Is Making You Obsolete.

Most people believe they must learn AI before using it, but chasing every new tool only creates anxiety and delays real skill development. The truth is, you learn AI by solving actual problems. By shifting focus from accumulating tool knowledge to completing specific tasks, you turn the overwhelming AI landscape into a practical feedback loop. Stop learning AI. Start using it.

Why Lying About Using AI Makes You a Better Developer

Most developers use AI as a frictionless crutch, blindly copying code without understanding it. But what happens when you’re forced to lie about using AI? The friction required to sell that lie—reviewing, rewriting, and explaining the code—creates a rigorous learning loop that turns a prohibited tool into a powerful accelerator for genuine expertise.