Learning Assistance Program
Leveraging Kilo Code's AI generation capabilities accelerates the learning process:
- Conceptual Exemplification: Enter the name of the algorithm/concept (e.g. "Demonstrate the principle of fast sorting") to get the implementation code with comments.
- incorrect diagnosis: After pasting the error code, the AI will explain the cause of the error and provide suggestions for fixing it.
- Multi-Language Comparison: A sample comparison can be obtained by describing "Implementing Chained Tables in Python and JavaScript, respectively".
- Interactive learning: Add the comment "// Please explain this part" anywhere in the generated code, and AI will add the details.
Suggested Learning Path: 1) Generate base code from simple to complex 2) Observe changes by modifying parameters 3) Use refactoring features to view alternative implementations 4) Join the community to discuss special cases. Note that it is important to work with the official documentation to understand the generated code and avoid over-reliance.
This answer comes from the articleKilo Code: a Roo Code branch with a clean user experienceThe
May not be reproduced without permission:AI productivity tools " How to achieve quick access to runnable example code while learning to program?
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