A hands-on approach to AI-assisted programming learning
A stepped learning path is recommended for programming novices:
- Code comprehension phase: Paste sample code from textbooks/web into the editor and get line-by-line analysis through the "Explain Code" function, which is more intuitive than just reading comments.
- Debugging training: Deliberately create common errors in code (e.g., misspellings, syntax errors), observe the fixes offered by AI, and develop a debug mindset
- Project Practice: Describe small functional requirements in natural language (e.g., "make a counter button") and compare the differences between the AI-generated code and your own implementation.
Recommended Learning Scenarios::
- HTML/CSS Basics: Live Preview + AI Tips Can Quickly Build Visual Awareness
- Algorithm practice: running the algorithm code directly in the editor, combined with console output to verify the results
- API call: use the built-in terminal to simulate the back-end response, understand the principle of front-end and back-end interaction
Caveats:
- Setting "Beginner Mode" allows AI to generate more detailed code comments.
- Avoid over-reliance on code generation, it is recommended to implement it manually before comparing and optimizing it
- Regularly use the "Knowledge Quiz" function to check your learning results (this function needs to be enabled in the settings).
This answer comes from the articleEasy Code Editor: An online code editor with AI-assisted featuresThe