I’ve been an IT student for a year. Everyone’s switching to AI, and I figure I have to make the switch too. I’ve started using it, mainly Claude, on a free plan, not to produce code yet, but as a tutor. I ask it to explain concepts, review my plans and implementation. I’ve not integrated it into anything I use. I hear talk of claude code and other agents integrated into IDEs. I also hear talk of people running their own local models, keeping a database about themselves so the agents can infer user preferences, how to align, how to write like the user, etc… And I hear talk of companies running agents on a loop in a solid pipeline that tests the code for bugs and exploits. Clearly the world’s changing (and not just programming) and the future is AI. I think it’s fascinating and I’d like to learn in detail about how it works but especially how to use it . I know there are techniques about how to write prompts or how long to keep context, how to give it context, what tools to use it with, which models to use when, etc… that drastically change the quality of the output. As an example, I recently ran into limitations during a long conversation, and had the presence of mind to open a fresh one. I’m looking for resources that would let me get ahead of problems like this instead of having to experiment myself. Even better if they explain why the best practices are best, in relation to how AIs work under the hood. Do you guys have any solid , detailed resources on how to use AI, written by people at the forefront of it, describing how it works/how to use it and laying out techniques to optimize its output and minimize errors? submitted by /u/Modinstaller
Originally posted by u/Modinstaller on r/ArtificialInteligence
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