When people talk about using AI for coding, the conversation usually goes straight to "AI writes all my code now."
That isn't how I use it, and honestly, if you're trying to actually learn, letting an LLM write your entire project defeats the purpose.
For me, AI has completely changed my Python learning journey, not as an automated code generator, but as a personal, 24/7 tutor that helps me debug, unpack complex logic, and write cleaner code. Best of all? I run everything locally, keeping my code completely private.
Here is how I use local LLMs to accelerate my learning without shortcuts.
Learning Concepts by Example (The args and kwargs Paradigm).






