Mastering Iterative Prompting for Optimized AI Code Generation
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# Essential AutoGen Examples: Code Writing, File Operations & Agent Tools
1. **Code Writing with Function Calls & File Operations**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_code_writing/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_code_writing.ipynb)
- *Key Tools Shown*:
- `list_files()` - Directory listing
- `read_file(filename)` - File reading
- `edit_file(file, start_line, end_line, new_code)` - Precise code editing
- Code validation and syntax checking
- File backup and restore
2. **Auto Feedback from Code Execution**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_auto_feedback_from_code_execution/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_auto_feedback_from_code_execution.ipynb)
- *Key Tools Shown*:
- `execute_code(code)` with output capture
- Error analysis and auto-correction
- Test case generation
- Iterative debugging loop
3. **Async Operations & Parallel Execution**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_async/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_async.ipynb)
- *Key Tools Shown*:
- Async function registration
- Parallel agent operations
- Non-blocking file operations
- Task coordination
4. **LangChain Integration & Advanced Tools**
- [Colab](https://colab.research.google.com/github/sugarforever/LangChain-Advanced/blob/main/Integrations/AutoGen/autogen_langchain_uniswap_ai_agent.ipynb)
- *Key Tools Shown*:
- Vector store integration
- Document QA chains
- Multi-agent coordination
- Custom tool creation
Most relevant for file operations and code editing is Example #1, which demonstrates the core techniques used in autogenie.py for file manipulation and code editing using line numbers and replacement.
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