Yes, and that’s a good thing! This is in fact where a lot of AI value lies. You dont need to know that command anymore - knowing the functional contract is now sufficient to perform the requisite work duties. This is huge!
Of course I lose about as much time as I save to its fuck-ups, so I'd still have been better off learning to actually use a text editor properly. Though (as I mentioned in a another post) part of why I've never done that in 25ish years of writing code for pay is that my code-writing speed has never been too slow for any of the businesses I've worked in, i.e. other things move slowly enough it never mattered.
I find it hard to read "You can do things without knowing things" as a positive improvement in work, society, life, anywhere
It's hard to tell anymore because I have encountered people who genuinely do seem to think that disliking AI is gatekeeping somehow
:^)
I use the shit out of opencode to do things as a force multiplier, not as a way to keep me from knowing what its doing.
The point at which we're optimizing for "we don't need to know that anymore" is the point at which everything blows up, because agentic work is not fully deterministic, models hallucinate even simple things.
Blindly relying on your agent weapon of choice to just do the right thing because you didn't take the time to understand how the lego fits together is an actual problem.
I have a pretty good sense of the quality of work my coworkers output, where they tend to struggle, where they're talented, what level of review is required, what I should double check, etc.
By contrast LLMs are more like picking a contractor out of a hat. Even with good guardrails the quality and types of issues vary wildly prompt to prompt.
Quite frankly it was embrassing. We've had tools for static analysis for ages. Use them.
Someone with better knowledge could work 100x faster using 100x fewer resources. They did it the slow, expensive way but at least didn't have to think? Odd flex.
A coworker created a shared Claude Code skill in our repo.
It's obviously something that can be done as a python or bash+jq script and run deterministically.
Instead we use natural language and waste tokens for that.
If AI breaks production this way, you just tell AI to fix it! And look, now you've consumed tokens twice. Think on that and I'll see you at the end-of-year performance review.
> If AI breaks production this way, you just tell AI to fix it! And look, now you've consumed tokens twice. Think on that and I'll see you at the end-of-year performance review.