Can you learn programming by building with AI?
Better than before5%
About the same0%
Worse than before55%
Depends how you use it40%
Any conversation
If programming is the typing of characters into a text file, it is way worse. I think the key to learning is still doing it rather than reading it. If the question is about system design I think you can, but only if you curious and it becomes a problem that needs to be solved.
Asking "What do you think" is one of my favorite questions to learn at the moment.
I do think there will be what were hard earned lessons about system design, code smell, designing data structures for the hardware you're running on, concurrency golden paths, etc., which are now with agentic dev even harder to learn and internalize. But also if you have an excellent teacher in the form of an actually-good model pair programming with you always, maybe not? Maybe a pair programming AI programming tutor would be a good Zed/vscode extension. Or product.
@fastidiousprofilefollow
"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyersreplied to:
"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyersreplied to:The proverbial first post should have been โhello worldโ. :-P You are the first rustacean I come across!
replied to@fastidiousprofilefollow"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyers:
"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyers:LOL! Good point:)
ai coding feels like it has reached diminishing returns for me. luna is my default orchestrator, routing work by complexity. in practice, usage lands around 16% luna, 48% sol, 30% astra, and 6% terra. at this point, i care less about each new frontier release. the system already finds a capable model for the job. the frontier is moving beyond my day-to-day work, so iโm happy to settle into predictable models for a while.
Coding probably yeah, but still they are bad at generating novel information, new ideas and such. Theyโre also not very good at seeing the bigger picture, they will narrowly perform the task but theyโre not taking into account future revisions, which ends up in refactor after refactor in order to move forward.
โ โ โ โ โ โ โ โ โ โ โ โ โ โ โขโฃโฃโ โ โข โ โขนโขณโขโ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ
โ โ โ โ โ โ โ โ โ โ โกคโ โกโ โฃตโ โ โ โกโขธโ โขธโ โกโ โ โ โ โ โขโกดโ โ โกงโฃโฃโกโ โ โ โ โ โ โ โ โ โ โ
โ โ โ โ โ โ โ โ โ โกฐโ โ โขฐโ โ โกโ โ โขฐโ โกโ โกโกโกโ โ โ โกฐโกฑโกโ โกโ โกโ โขโ โ โ คโกโ โ โ โ โ โ โ
โ โ โ โ โ โ โขโกโขโ โขโ โ โขโ โ ธโกโ โ โกโกโ โกโ โกโ โ โกฐโขกโกฑโ โกโขโ โขโขดโ โ โ โ โฃโกโกโ โ โ โ โ
โ โ โ โ โ โ โกโ โ นโฃฆโ โขโ โ โกโ โ ฑโ โ โขฐโขโ โขโขธโกโ โข โขโขงโ โกฐโขโ โข โกพโ โ โ โก โ โก โ โ โฃโ โ โ
Nudged by an interesting read about time perception to try reclaim moments where I can deliberately feel bored again.
I read
Still trying to figure out the boundaries of these tools' strengths without outsourcing important thinking, problem-solving, and the collective building-up of a mental model of the systems we're developing.
The shape of LLM tools as toolsโfit for a purpose, ergonomicโis becoming clearer, and human patterns of behavior with them that do more harm than good are also becoming easier to recognize.