The Industrial Revolution displaced skilled craftsmen with machines. Two centuries later, we scrambled to find those craftsmen to rebuild Notre Dame. The AI revolution is doing the same to knowledge workers—but a thousand times faster.

Programming languages rarely die, but that doesn’t mean they all deserve new projects. Languages are born from specific problems—so what happens when those problems have long been solved?

From assembly language and the demoscene to modern tech companies where four years make you ‘senior’ — after all this time, where does that leave me?

From kilobytes to terabytes, from MHz to GHz, our computers are millions of times more powerful than they were decades ago. Yet everyday tasks don’t feel that much faster. Where did all that power go? Perhaps it’s time for intentional computing.

A nostalgic look at Java’s revolutionary impact in 1995 and its transformation of software development—from portable bytecode to open source culture—and why, despite all its contributions, it feels like a language that never learned when to gracefully exit the stage.