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[JS Required] How Performant are LLM Agents(AI Chatbots) on Real World Work Tasks? They Fail 70% or More of The Time. (the-agent-company.com)

submitted 4 days ago* (last edited 4 days ago) by [email protected] to c/[email protected]

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[-] [email protected] 27 points 4 days ago

That tracks with my experience

You have to very carefully scope things for them and have a plan for when they inevitably screw up.

[-] [email protected] 5 points 3 days ago

They’re great for bootstrapping in my experience but then really fall apart when you need it to do something surgical on a larger codebase.

[-] [email protected] 2 points 3 days ago

Mine too

I’ve been working on an app and it was fantastic for the basics, then I decided to refactor an API and Claude code would run for hours without really getting there.

Also a good warning: I just had to completely rewrite an mcp server I had Claude build because when I needed to update it, the whole server was one giant if/else statement and utterly unmaintainable.

[-] [email protected] 2 points 2 days ago* (last edited 2 days ago)

I’m having this argument with one of my junior guys who wants to just go with the generated code. We finally got his code functional, months late, and now need to get it maintainable

AI is a useful tool that can help speed up some of the tasks of coding but it’s not magical. It’s never a final result

AI could really help me get more done if we could weed out people following it blindly

[-] [email protected] 1 points 2 days ago

At least with AI it's easy to see how shitty it gets as the codebase grows working on even a toy project over a week.

Then again, if you have no frame of reference maybe that doesn't feel as awful as it should.

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this post was submitted on 29 Jun 2025

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