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anticorporateyesterday at 9:13 PM2 repliesview on HN

That's actually the best hypothesis I've heard to date.

My immediate reaction to anything someone says they're using OpenClaw for is "That's great, but it would have taken the same amount of effort to ask your LLM to write a script to do the same thing, which would be better in every possible way."

My approach to automation projects is just about the polar opposite of something like OpenClaw. How can I take this messy real-world thing and turn it into structured data? How can I build an API for the thing that doesn't have one? How can I define rules and configuration in a way that I can understand more about how something is working instead of less? How can I build a dashboard or other interface so I can see exactly the information I want to see instead of having to read a bunch of text?

It wasn't really until people started building things with coding assistants that I even saw the value in LLMs, because I realized they could speed up the rate at which I can build tools for my team to get things OUT of chat and INTO structured data with clean interfaces and deterministic behavior.


Replies

BeetleByesterday at 9:18 PM

> "That's great, but it would have taken the same amount of effort to ask your LLM to write a script to do the same thing

As a no-longer-Claw-user, hard disagree. The convenience is being able to ask it to do something while I'm grocery shopping and have it automatically test it etc. Sure, I can set up Claude Code or some other tool similarly, but the majority of us aren't going to take the time to set it up to do what OpenClaw does out of the box.

I had OpenClaw do a lot of stuff for me in the 2-3 weeks I used it than I have with pi/Claude since I stopped using it.

show 2 replies
jimbokunyesterday at 9:58 PM

This is a good description of the role of software engineer in the age of LLMs.

Most people still don’t think this way and need a software person to know enough about these things to describe them to the LLM.