A guide to real-world applications of AI programming assistants
Developers can maximize the use of kun-lab's programming support features in the following ways:
- Dedicated workflows1) Create a new "Code Debugging" dialog → 2) Set the system prompt to "Senior xxx language engineer" → 3) Paste the question code → 4) Use a specific question format (e.g., "Explain the role of the 15th line. ")
- Syntax Highlighting Utilization: Add `` tags before and after the code block and the AI will automatically recognize the language type and color it correctly!
- Error Diagnosis Tips: Copy the full error message + relevant code snippet, AI can locate the problem and suggest a fix!
- Complex issues: For large projects, extract key modules before asking questions; use intermediate forms such as "pseudo-code optimization" to simplify the questions.
Recommended Professional Practices: Build a personal code snippet library as a dialog reference; save templates of commonly used prompts (e.g., "Securely audit this code"); analyze API documentation with the document parsing function. Note: Business-critical code is recommended to be reviewed manually, AI suggestions are for reference only.
This answer comes from the articleKunAvatar (kun-lab): a native lightweight AI dialog client based on OllamaThe
May not be reproduced without permission:AI productivity tools " How to effectively apply AI dialog tools in code development scenarios?
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