Alexandre Gucia

Anthropic has 454 open roles. The company is hiring software engineers at $320K-$405K. Their CEO, Dario, said three months ago that coding is "going away first, then all of software engineering." The paradox resolves instantly. Dario's engineers told him they don't write code anymore. They let Claude write it. They edit. They review. They architect. They didn't lose their jobs. They got faster. Anthropic grew from a small research lab to 1,500 employees in four years, adding engineers the entire time. This has played out five times in computing history. Compilers replaced assembly. Frameworks replaced boilerplate. Cloud replaced server management. Every prediction was the same: most programmers won't be needed. Every result was the same: the number of engineers grew. The global software engineer pool went from roughly 5 million in 2010 to 28.7 million today. BLS projects 17% growth in US software developer roles through 2033, adding 304,000 positions. The pool is projected to hit 45 million by 2030. When building software gets cheaper, more problems become worth solving with software. A startup that needed 10 engineers now needs 3. But 50 companies that couldn't afford to build at all now can. The denominator shrinks. The numerator explodes. Meta's engineering headcount is up 19% from January 2022. Google's is up 16%. Apple, 13%. These companies adopted AI coding tools years ago. They're using Copilot and Claude Code daily. They're hiring more engineers than before those tools existed. Every generation of "coding is dead" content creates two cohorts: engineers who freeze up, and engineers who build 10x more with the new tools. The second group has won every single time.

a tech opinion you can defend like this?

La génération Z code par instinct : vibe coding, sans architecture formelle, sans docs, parfois sans comprendre ce qui tourne en prod. Les apps IA générées en 48h remplacent des outils SaaS à 300€/mois que de toute façon ils ne pouvaient pas se payer... Le modèle SaaS classique : abonnement récurrent, onboarding long, armées de customer success est en train de se faire désinguer par des outils construits à la vitesse de l'IA. Ce que la Silicon Valley a bâti pendant 15 ans va céder la place à autre chose. La question est juste de savoir à quelle vitesse les acteurs SaaS vont tomber.