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i have mentored a few people to become Programmers. Some for months, some for years. It's like teaching someone to ride a bycicle. Hand-holding first, then hand-guiding, then short flights, then longer... Different people pick stuff at different pace and shape.. but they do learn.. if they want to.

What i completely miss in these LLM parrots-agents-generators, is the learning. You can't teach them anything. They would not remember. Tabula rasa / Clean slate, every time. They may cite Shakespeare - or whatever code scrubbed from github - and concoct it to unrecognizability - but that's it. Hard rules or guardrails for every-little-thing are unsustainable to keep (and/or create) - expert-systems, rule-based no-code/low-code.. has been unsuccessful for decades).

Maybe, next AI wave.

And, there's no understanding. But that also applies to quite some people :/




Consider rules for projects. It's not always perfect, but it does adapt based on my instructions.

For example, I have had good success in test first development as a rule. That means that I can make sure it has the specifications correct first.


LLMs don't learn but agents do. You just need to insert that new knowledge in the prompt.


Agents are still LLMs. LLMs also have prompts. There's no difference!


LLMs don't have prompts, you can use prompts to query LLMs.

Agents are a mix of models, prompts, RAG and an event loop.


Agents HAVE Models. There is a big difference if you give a model access to tools and perhaps some form of memory.


Literally all of this is easy to solve if you actually tried. Developers are literally too lazy to write their own AI tooling, it’s bizarre to me.


The goal isn't to use AI, though, it's to be productive. Maybe for you AI + writing support tools to improve your workflow makes you more productive and that's great! For me, for the kind of work I'm currently doing, I'm more productive in other ways.




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