Major software companies are massively reducing their staff because their devs become vastly more productive due to AI.

The difference in productivity between devs who master AI and those who reject it is growing at an incredible pace. And it's going to accelerate.

Learn everything you can about it today so you're still on top of the game in 5 years.

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100% I can see it with some of my counterparts, they reject AI rather than embracing it as a new tool for them to master. Also my specific industry is fully asleep at the wheel and doesn’t realise just how disruptive it will be. People still building in-house tools for the old world!

AI is hallucinating on 90% of the really hard technical questions I give it, still a very looong way to go

Tips for someone working in a big old slow enterprise? They got us a copilot subscription that’s about it

Devs that deny LLMS are helpful for productivity are the butt-coiners and flat-earthers of tomorrow.

Agree. Cognition has already built Devin with Devin. The current programmer layoffs are just the early stages of the diffusion of AI programming technology. After AI programming is equalized, the need for programmers will increase today. Because human needs and competition are endless.

AI is flipping the script on software development! The productivity boost from tools like GitHub Copilot is nuts, with studies showing devs cranking out 26-45% more work when they lean into AI. Companies like Microsoft and Accenture are already seeing this in action, and it’s no surprise they’re trimming headcount—not because devs are obsolete, but because AI-savvy ones are just that good. The gap between those who embrace AI and those who don’t is like Usain Bolt racing a couch potato, and it’s only getting wider.

If you’re not diving deep into AI tools now, you’re setting yourself up to be left in the dust. It’s not just about coding faster; it’s about mastering the tech that’s reshaping the industry. Five years from now, the devs who know how to wield AI will be the ones calling the shots.

🎯 yes just about right

One caveat here is that some projects are structured in a way that the programming was never the bottle neck in the first place. That is because they are embedded in giant legacy structures where most of the time you're stuck with coordinating, arguing and planning. Instinctually I'd say that 70% of software engineering hours are happening in those invisible deep industry pockets.

The greenfield, fresh and really vibe codable projects are more of an exception than the rule.

Not to say that all software engineering is benefiting from AI in some way.

I think that applies to every sector and even my world which would be music (business).