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I am quite honestly baffled by all these posts. I'm not a hardcore skeptic, at least I don't think so, I have tried most of the vibe coding tools, and I regularly try new ones and continue using many; and I do NOT have the experience described in all these posts.

So two possibilities come to mind:

1. I, somehow, use every single one of those tools wrong.

2. Or; you and the other people raving about Claude code are solving trivial problems.

Of course, I'm human so I'm inclined to believe I do not use all tools wrong. But reading your experience and those similar to yours I can't help but think two things:

- you are solving incredibly rote, already solved, problem that the LLMs are just able to spit out by heart. I do too, and yet I don't have the same AI successes so damn your problems must be especially trivial.

- You are so wildly overpaid that paying hundreds (I even saw people "boasting" about spending thousands a day !) of dollar a month is perfectly justifiable.

I don't think I'm wrong on the last point, and if I can see it then employers will be able to see it too. Why on earth would anyone pay 600$/h (your rates according to one of your post), when apparently I can just pay 200$/mo and get the same thing?

And don't tell me "because it takes skill to use Claude Code", you just wrote a blog post telling it mostly doesn't (apparently).

Don't take this whole post as a mean criticism (and if it reads like it, I'm sorry), I am just truly flabergasted.



Disclaimer: I haven't experimented with AI coding

Every time I see a post like yours, I see the reply saying "yeah you're using it wrong". I can't say either 1 or 2 is true, but if you saw the recent post[0] about cloudflare making an API entirely with Claude, it could be more of a case of not using the tools to their potential.

[0] https://news.ycombinator.com/item?id=44159166


Don't rule out possibility 1.

Sometimes you have to learn how to frame the problem in a way to get the results that you want. These tools need lots of context, not just about the rest of the code base but the problem itself. You can think of it a bit like how the early adopters of high level programming languages had to fight against compilers to get the assembly output that they wanted.

For example, if I tell an LLM to generate a python script that finds the square of a number I might want: def square(x): return x * x

but it may give me: print("Enter a number:") x = int(input()) print("The square is", x * x)

This is a very very simple example but I think it illustrates my point. If you provide enough context to the exact problem you want to solve the results are astronomically better.


Yesterday I asked both claude and gemini to downgrade a package on manjaro and both failed miserably

I use these tools a lot and I would say they fail 50% of the time for my use cases and I baby them every step

”Is it just me” is such a flawed mindset. The reality is staring you in the face




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