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# Learning to Code in the Age of AI: Advice From a Top Udemy Instructor

**[JetBrains](https://daily.dev/sources/jetbrains)** · 12 min read · 3 upvotes · 0 comments

## Summary

A Python educator with over 650,000 Udemy students discusses how AI has changed programming education. AI has absorbed small syntax questions students used to ask, leaving teachers to handle bigger judgment calls about learning paths and project quality. He argues struggle is essential for learning, but only friction-based struggle (setup errors, driver issues) should be offloaded to AI, while conceptual struggle (understanding a bug) should be preserved. Three skills matter for junior developers: reading code you didn't write, writing precise specifications for AI, and system-level understanding. He recommends a three-stage learning path: writing syntax by hand, using AI as a tutor, then using AI as a co-worker, and stresses learning inside a professional IDE like PyCharm rather than just watching videos.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.jetbrains.com/education/2026/09/03/learning-to-code-in-the-age-of-ai-advice-from-a-top-udemy-instructor>

## Questions this post answers

### What skills should junior developers focus on to stand out in the AI coding era?

Three skills matter most: reading code you didn't write (judging AI-generated output rather than just writing your own), precisely specifying what you want from an AI agent (treating prompts as specifications with edge cases defined), and system-level understanding of how an app's pieces fit together. The first two make you productive with AI, but system-level understanding is what makes you the one directing AI rather than the reverse.

_Developers building these judgment skills track practical AI-era advice like this on daily.dev._

### Should beginners let AI solve every coding problem they get stuck on while learning?

No, only the friction-based struggles should be handed to AI, such as broken driver installations, cryptic setup errors, or outdated tutorials. Struggles about understanding, like why a loop runs one extra time, should be worked through manually because that confusion is what actually builds programming knowledge, not an obstacle to remove.

_Anyone shaping their own learning workflow with AI can find more perspectives like this on daily.dev._

### What is a good structured learning path for someone starting to code today with AI tools available?

A three-stage path works well: first write real syntax by hand in a proper IDE to build the mental model of variables, loops, and data flow; second, use AI as a tutor while working on gradually larger projects; third, use AI as a co-worker, reviewing AI-written code while projects grow to include databases, users, deployment, and API integration.

_Developers mapping out how to learn alongside AI tools can follow this kind of guidance on daily.dev._

---

Tags: [#python](https://daily.dev/tags/python), [#career](https://daily.dev/tags/career), [#devtools](https://daily.dev/tags/devtools), [#ai-coding](https://daily.dev/tags/ai-coding)

[View this post on daily.dev](https://daily.dev/posts/learning-to-code-in-the-age-of-ai-advice-from-a-top-udemy-instructor-t0fmfby9i)

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