257
Claude Code refuses requests or charges extra if your commits mention "OpenClaw"
(news.ycombinator.com)
this post was submitted on 01 May 2026
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If you spend that much effort, you might just do it without AI. Same amount of work, and you know it's not going to have non-deterministic behavior.
Well, I’d be spending that work on a re-usable platform / framework. So if the argument is “it’s as much work as doing the work yourself anyway,” then I think it may be worth it.
Same argument we had for building the SQL engine. It’s a lot of work upfront but maybe we can benefit from its functionality for long after that.
I wouldn’t be building a project-scoped work harness. I’d be building a work harness for projects.
Edit: downvote me all you want. The comparison to the SQL engine was a good one.
It’s about increasing the baseline of readily-available information, boiler-plate, test data, POCs… between the times (T1) that I have an idea and (T2) that I’m ready to start working on that idea. It’s not about having the agent do the work. Not at all. That’s a static benefit which is created once then reused countless times for the foreseeable future — like SQL.
You want me to write an entire library for a brand new sensor that just came off the market, by parsing through and reading a hundred page datasheet manual, understanding i2c or SPI communication timings, configuration packets, etc...
When I can just drag and drop the PDF into ChatGPT and say "make a library for this sensor" and it spits out something that has been working without issue for the past 2 years?
Why? Why would I be that stupid?
I hear crazy claims like this but haven't seen anything close to this with my own eyes (yet).
I shudder at the idea that SPI or i2c are considered complex for someone supposed to interact with hardware. What will you do if a problem arises and you don't even know which pin does what?
I2C/SPI - and indeed most hardware interfaces - are of course trivial to anyone skilled in the art. Digging through badly written vendor documentation though, then comparing it with the reference implementation that was buried on a website behind a sign that says "beware of the leopard" and which directly contradicts the documentation on various key points, is a non-trivial and ultimately unproductive use of time - and AI tools can be pretty good at that shit.
Generative AIs are a useful tool. Most of the criticisms of AI vendors are also valid (apart from the water one, that's just bullshit,) but that doesn't stop them being a useful tool - and engineers who learn to use them as a tool will be more productive and will be more employable than those who stick their fingers in their ears and insist on only producing artisinal code hand-whittled with their grandfather's tools.