> I'm happy not using llms because I like learning things and working hard. I love writing code, it's genuinely my favorite thing thing to do.
You can continue doing that. The problem here is time and cost. If you can use the calculator to do something in seconds, why would you want to use your hands to do the calculations for minutes/hours.
> Using llms is the equivalent of driving to the store that's 3 blocks away, just like how that's bad for your body (if done all the time), using llms is as bad for your brain.
And coding will soon be the equivalent of walking between two cities because you don't want to use a car (LLM). You are free to do it, its just economically not sound anymore.
> This is seriously the biggest trap by tech. Your bargaining power for your labor is going to get drastically reduced because you won't be able to differentiate your value from anyone else that has access to an LLM. What happens when everyone has the same skill level for certain work?
Its not our values that will diminish, its the cost of our intelligence, human intelligence. But I agree with the rest of your comment.
See my issue with these comparisons is that it always compare AI to 100%.
When 100% does not exist. Most software out there has issues, bugs, compliance problems, security weaknesses, scaling, redundancy, availability issues...etc. A lot of this is not actually related to how good or bad software engineers are. It's about costs and time to ROI. Greed is an issue too.
So people seem to have this idea that software created by humans is perfect (its not). And that deterministic (human created software with if/then) is alway going to be better than probabilistic (LLMs). Which in a perfect world is the case, but we live in a capitalistic world where this is not the case.
> I'll happily push back against that. Using Claude Code and similar tools effectively is way, way harder than people expect.
No it's actually not that difficult. Even if you are not a "prompt engineer" you will get out what is needed from claude if you use simple logic (no need to be technical). In fact this whole "Prompt Engineering" scam will go extinct soon, as SOTA LLM's already catching up on most edge cases and prompting issues.
> Anyone can pick up a guitar and strum the strings, but it takes a whole lot of work to actually get good with it.
Really the wrong analogy here. You are comparing a human who learned guitar through years of practice. When with AI who itself already knows how to play. You're not learning an instrument. You're more like someone who just hired a virtuoso musician. Yes, you need to tell them what song you want,but you don't need to teach them chord progressions. The model already knows the hard part.