I've just started learning Python in Visual Studio Code and was really excited at first. Whenever I got stuck, though, I would use the editor's AI chat or another AI assistant for help. Now I'm worried that I'm not actually learning and am just taking shortcuts.
How do other people approach AI while learning to code? Is it basically an improved version of searching the web, or does it remove too much of the problem-solving practice? Should I avoid it for now, or use it as a tutor without letting it write the solutions for me?
4 Answers
AI can be a very effective tutor if you make it teach instead of do the work. Ask for several possible approaches, the trade-offs between them, and the concepts or documentation you should study. You can also ask it to quiz you or explain code line by line. Just verify its claims, because it can confidently produce incorrect or overly complicated Python.
The comparison with web searching is only partly accurate. Traditional searching makes you read several sources and piece together the answer, which gives you extra exposure and practice. AI is faster because it summarizes everything immediately, but that convenience can remove useful thinking. A good balance is to learn the fundamentals without assistance, use documentation and search when appropriate, and bring AI in for explanations, debugging hints, and code review rather than blind copy-paste.
AI isn’t automatically cheating; the way you use it matters. Try spending 15–20 minutes forming a hypothesis and attempting a solution before asking for help. Then ask it to explain an error, provide a hint, or point out what you’re missing—not to write the whole program. After reading the explanation, close the chat and rebuild the solution yourself.
I’ve found that asking it to review my attempt is much more useful than asking for a complete solution. I still have to understand and fix my own code.
When you’re brand new, it’s probably worth disabling inline code completion and trying to solve exercises yourself first. Struggling with a problem is part of building your programming instincts, and solving something independently can be incredibly motivating. Use a structured course, the official Python tutorial, documentation, and small projects so you have a clear path instead of asking for the answer every time.
That confidence boost is real. Even solving a small bug on your own makes the next problem feel much less intimidating.
The real danger is knowledge debt: code may work while you never learn why. If you can explain every important line and recreate the solution later, the tool is probably helping rather than replacing your learning.