I’m picking up game dev in my spare time. I’m not letting Claude write any of the code. We talk through the next task, I take a run at it, then when I’m stuck I got back and talk through where the problems are.
It’s slower than just letting Claude do it, obviously. Plus you do need to be a bit disciplined - Claude will gladly do it for you when you start getting tired. I am picking it up through, and not getting bogged down in the beginner ‘impossible feeling bugs you can’t figure out bc you’re learning and don’t fully understand everything yet’ stage.
https://www.tomsguide.com/ai/claudes-new-learning-modes-take...
Badabum tas :)
I see open source projects entirely run by clueless LLM-using idiots, and existing projects overrun by them, and there is none of the quality or passion you would normally see.
Even if I were to apply my skill/energy to a project of my own, my code would just get stolen by these LLM companies to train their models, and regurgitated with my license removed. What's the point?
I feel like AI has made it a bit easier to do harder things too.
Reading code and understanding it is a very important skill and now might be the most important skill.
It's analogous to reading a textbook and skipping the exercises. The exercises make you think and realize the gaps in your knowledge that you did "read" at the time but didn't fully appreciate.
As I was reading this exchange, I was wondering the same thing, why isn't a person learning the code from reading the code that was produced. I guess people learn differently when it comes to code.
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