Let me tell you about a post that went quietly viral in developer circles in May 2026.
A developer named Devrim wrote a Medium post titled "How AI Coding Tools Almost Killed My Developer Career." He described joining a team in early 2023, discovering GitHub Copilot, and becoming the most productive junior on the team inside two weeks. Pull requests flying out. Senior devs nodding approvingly. Management impressed.
Then, slowly, over the next two years, a problem became visible. He'd used AI to skip the painful parts of learning. The parts where you debug something for three hours and finally understand why it broke. The parts where you write bad code, get it reviewed, and internalise the pattern. The parts where you feel slow and confused and eventually aren't.
When his company downsized and he started interviewing, he discovered he couldn't answer questions about his own code. Not because he was unintelligent — but because the code had never actually passed through his brain. It passed through a model, then through his clipboard, then into a PR. He'd been a very efficient relay station. Not a developer.
He's not alone. And his story points at something the industry keeps talking around: AI editors have broken the entry ramp to software engineering, and we haven't figured out what to replace it with yet.
