For example you might have a great design/architecture session and then run out of context. The next agent tries to piece things together from fragments of conversation and such. But it often starts going off on tangents, searching overly broad to understand, misses cues and nuance, all-the-while burning tokens.

As other articles have put it: AI makes doing the easy things easier and the hard things harder. Because hard things require creativity.

To bring this back to the original post: companies need people, and they shouldn’t expect that they can fire half their workforce and replace it with AI. Quite the contrary. The faster companies move with AI the more technical debt they’ll end up with it’s a guarantee.

“If you want to travel fast, go alone. If you want to travel far, go together.”

Coding faster leads to less understanding and higher long-term risk. Source-Code amnesia is real, and there’s a time requirement to really understand and appreciate what a system is actually doing.

I’ve been able to implement very large features using frontier models, but the code needs to always be revisited.

AI can do two things: find vulnerabilities, and prototype code. It cannot design software, and any appearance of such is an illusion at best.

We don’t need to produce faster to be successful, we need to create better, long lasting products.