Personally, I experienced something different. Before AI, it was the managers who gradually took away the joy and tried to fundamentally alter the profession... AI brought much of the joy back. Until some upstream roles discovered AI and used it as leverage to send larger volumes of bullshit downstream. I got away, sadly some people could not.

I'd like to point out though, that you also learn by AI producing bad outcomes you are responsible for, and building intuition how it might fail through practice... You also might experience more lessons than you would have if you would have coded manually.

Sadly it would be very difficult for Anthropic to relocate to another country with their IP, models, and infrastructure.

(Guess I need to build everything I intended this year in a weekend.)

An engineer coordinating AI agents can achieve coherent architecture. The bottleneck is less about human-AI coordination; it's that the inert organizational structures won't adapt.

The engineer now has to coordinate with AI agents and all the legacy coordinating roles that were designed for a different era. All these roles still demand their slice of attention, except now there are more coordination points, not fewer - AI agents themselves, new AI governance roles, AI policy committees, compliance officers, security assessments...

but interesting to see this flagged...