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How can I integrate AI as a tool with my school life and not like a crutch? Something where it's easier with it but I can work without it? #Spring26

I am a CS major and just would like to learn how to better automate some mundane tasks so I can focus more on the important stuff.

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Peter’s Answer

For learning, you should treat the AI as a partner, as a tutor and as a collaborator. Ask it to explain things to you better when you don't understand them, this goes for code and for your assignments and lectures. Think critically, ask it for references, or to search or verify facts to confirm them. For coding, use AI to ideate, use a smart model to help you plan, debug, and test, because systems engineering, good taste, and testing and verification are now more important than they ever were before. AI will make mistakes, your job now is to learn enough and be smart enough to catch those mistakes and fix them by thinking critically and by using and testing the systems you build collaboratively with AI. In general try to build systems that are as simple as possible while still being useful.

Peter recommends the following next steps:

https://chatgpt.com/features/study-mode/
https://cs50.harvard.edu/extension/2024/fall/notes/ai/
https://teachingcommons.stanford.edu/teaching-guides/artificial-intelligence-teaching-guide/understanding-ai-literacy
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Keerthan’s Answer

To integrate AI as a healthy tool rather than a crutch, you should treat it as an elite "rubber duck" debugger and teaching assistant rather than an automated code generator. Instead of feeding an assignment prompt into an LLM and copying the output, use it to break down complex concepts, brainstorm algorithmic logic, or write the boilerplate configurations—like basic Dockerfile structures, initial Git workflows, or SQL schema templates—that usually eat up your time. For mundane tasks, use AI to quickly generate custom bash or python automation scripts that parse logs, organize your study directories, or spin up mock data for testing your code. The key to staying independent is maintaining a "human-in-the-loop" workflow: always prompt the AI to explain why a specific solution works, require it to give you hints instead of direct code solutions, and make it a rule that you must be able to manually refactor and explain every line of code it helps you write.
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