this post was submitted on 03 Jul 2026
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Claude is geared more towards enterprise companies, anyway. I think you went over pretty succinctly as to why: they can afford the extra resource burn.
pretty much the way I use AI rght now is similar to how you see the near future of your use.
its pretty useful for getting through writers-block type scenarios sometimes because of that, but past the initial stages of the project the usefulness declines dramatically.
I'm still not seeing any real ways of removing the human in the loop, especially for the review process.
Yet this is my problem, A tool that "waste" tokens, is slow (with some tasks taking 30~40 minutes) and generating a result, while a model running locally can do the 70% in 5min. It's a huge difference.
And don't forget, at the end of the day, I would still need to look into the code and fix some stuff myself.
And if compared with Deepseek (which had fit best on my use case), it's even faster like 1~3 minutes, to get on the 90% of the result, on a fraction of the cost. This is the points that I'm focused, and a enterprise should either understand that the market have changed, or pay the price. And looks like we will pay the price.