Press enter or click to view image in full size The modern python stack. For the last decade, fast-to-ship beat fast-to-run. Not anymore. Picking a language for a new project was usually an easy answer. You used Python or TypeScript because the ecosystems were enormous, the hiring pool was deep, and you could make an impressive demo by Friday. Rust, Go, C++, and many more would give you 10–100x the performance, but you paid for it: six months of ramp, a smaller talent market, a build system that fought you. So you shipped the Python version, sold it to customers, and promised yourself you’d “make it performant later.” You rarely did, and that was fine, because nobody else did either. That bargain is over, and it’s over because AI got good at the hard languages. The hard languages got easy first Two years ago, GPT-4 couldn’t write a Rust function without hallucinating crate names.…