Configuration file: Add support for a configuration file where users can specify their API key, default model, and other settings, making it easier to manage and customize the script.
Multiple models: Allow users to choose from different GPT models or use multiple models sequentially, which could potentially improve the quality of suggestions.
Rate limiting and retries: Implement rate limiting and automatic retries for API requests, which can help avoid exceeding API limits and handle occasional API errors more gracefully.
Code formatting: Integrate with code formatters like Black or autopep8 to automatically format the fixed code according to Python style guidelines.
Version control integration: Add support for automatically creating a new branch or commit in the version control system (e.g., Git) when changes are applied, making it easier to track and manage changes made by the script.
Test execution: If the project includes unit tests, run them after applying changes to verify that the fixes haven't broken any existing functionality.
Incremental improvements: Instead of applying all suggested changes at once, apply one change at a time and rerun the script to see if the issue has been resolved. This approach can help identify which suggestions are most effective and minimize unnecessary changes.
Custom prompt: Allow users to provide a custom prompt for the GPT model, giving more control over the type of suggestions generated.
Interactive mode: Implement an interactive mode where users can review and approve or reject each suggestion before applying it. This can help ensure that only the desired changes are made to the script.
23
Performance metrics: Collect and display performance metrics, such as the number of iterations, time taken for each iteration, and total time taken to fix the script, helping users understand the efficiency of the script.
Logging: Add proper logging to keep track of the actions taken by the script, which can be useful for debugging and monitoring purposes.
25
User-friendly error messages: Improve error messages to be more descriptive and user-friendly, making it easier for users to understand and resolve issues.
Alphanummeric
commented
1 year ago
Some ideas for Future Features
Configuration file: Add support for a configuration file where users can specify their API key, default model, and other settings, making it easier to manage and customize the script.
Multiple models: Allow users to choose from different GPT models or use multiple models sequentially, which could potentially improve the quality of suggestions.
Rate limiting and retries: Implement rate limiting and automatic retries for API requests, which can help avoid exceeding API limits and handle occasional API errors more gracefully.
Code formatting: Integrate with code formatters like Black or autopep8 to automatically format the fixed code according to Python style guidelines.
Version control integration: Add support for automatically creating a new branch or commit in the version control system (e.g., Git) when changes are applied, making it easier to track and manage changes made by the script.
Test execution: If the project includes unit tests, run them after applying changes to verify that the fixes haven't broken any existing functionality.
Incremental improvements: Instead of applying all suggested changes at once, apply one change at a time and rerun the script to see if the issue has been resolved. This approach can help identify which suggestions are most effective and minimize unnecessary changes.
Custom prompt: Allow users to provide a custom prompt for the GPT model, giving more control over the type of suggestions generated.
Interactive mode: Implement an interactive mode where users can review and approve or reject each suggestion before applying it. This can help ensure that only the desired changes are made to the script.
23
Performance metrics: Collect and display performance metrics, such as the number of iterations, time taken for each iteration, and total time taken to fix the script, helping users understand the efficiency of the script.
Logging: Add proper logging to keep track of the actions taken by the script, which can be useful for debugging and monitoring purposes.
25
User-friendly error messages: Improve error messages to be more descriptive and user-friendly, making it easier for users to understand and resolve issues.