That's what you should be doing. Start from plain Claude, then add on to it for your specific use cases where needed. Skills are fantastic if used this way. The problem is people adding hundreds or thousands of skills that they download and will never use, but just bloat the entire system and drown out a useful system.

Sure, it's basic use and nothing to flex about - was just responding specifically to the line that plan-review-implement is all you need.

Though, you get such a huge bang from customizing your config that I can easily see how you could go down that slippery slope.

Nothing prevents that, and the test lab wouldn't bat an eye at that. For all they know or care, you wanted to run different test on different cells. The only thing the lab is verifying is that the defined test was executed as stated, nothing else.

When I was in university, I had a math teacher that brought extra chalk to class everyday because if he saw you on your phone, he'd snap a piece off and throw it at you pretty damn hard. Maybe that wouldn't exactly work in a high school but damn if Dr Murphy didn't have me paying attention in that class.

It's "literal violence" now and you'd get sued and lose your job.

That being called "literal violence" is one thing, but now a teacher telling a student "you should be ashamed with yourself" is also called "literal violence."

Also in 1950 the population of the US was 151 million, today it's 341 million. it has more than doubled, and the amount of space has stayed the same. More people competing for the same amount of property will always lead to inflated housing costs beyond what inflation would predict.

NotebookLLM. Load in technical manuals and datasheets, then ask it questions and check the parts it references instead of searching tens of thousands of pages across dozens of diferrent documents. It's the most useful AI tool I've tried so far for embedded work.

Isn't Claude (i.e. general LLM) enough? I seem to have luck having it interpret datasheet PDFs for me.

Thank you for doing what you do! I'm sure it isn't easy keeping this place healthy and thriving, but me and so many others really appreciate the blood, sweat and probably a few literal tears it takes :)

Not to forget — of course — the cerebrospinal fluid (CSF) that must've went into cushioning the brain from the occasional nervekiller comment, as well as the endo-/perilymph for the overall "mental balance".

I rarely hit the brake pedal in my car at all with one pedal driving. In fact I'd say 80% of drives I don't hit it at all, and the rest i might use it once or twice. I'm sure I'd still hit the brake in an emergency since it's so ingrained in me from driving normal cars for so long, but I'm not sure how long that will be true for, especially for new younger drivers that have really only driven EVs.

That’s a good point too. Maybe it’s not much of an issue for us “older” drivers but as we start to get “native” one-pedal drivers it could start to be.

The API is correct, you just called it at the wrong time

Everything we do and everywhere we go is inside the skin of an apple

In a later tweet, he even mentions there were 6 other people and they built on top of existing work. Doesn't really sound like he's within a mile of solely creating anything, no matter what spin he likes to apply.

> correction: + much of OpenAI eng, plus years of their bleeding edge research

Pretty telling

Also, the hundreds of GitHub employees who worked on GA. It was a dogfooding project internally before talented engineers in GitHub turned it into a commercially viable product.