Learn how to easily undo Copilot suggestions you don’t like and regenerate better code completions. Follow this quick tip to boost your productivity with GitHub’s AI pair programmer.
Table of Contents
Question
If you don’t like the results produced by Copilot, you can always _____.
A. start over completely
B. delete
C. undo
D. recreate
Answer
C. undo
Explanation
If you are not satisfied with the code suggestions generated by GitHub Copilot, you can always undo the results.
GitHub Copilot provides an “Undo” feature that allows you to quickly discard the AI-generated code completions and revert back to your original code before accepting the suggestions. This gives you the flexibility to explore different code completion options without permanently modifying your codebase.
To undo Copilot’s suggestions:
- After Copilot generates code completions, if you find them unsatisfactory, simply press the “Undo” keyboard shortcut (usually Ctrl+Z on Windows or Cmd+Z on Mac).
- This will instantly remove the suggested code changes and restore your code to its previous state before accepting Copilot’s recommendations.
- You can then either manually write your own code or trigger Copilot again to generate alternative suggestions that better align with your requirements.
The ability to effortlessly undo Copilot’s code completions empowers you to experiment with various suggestions without the risk of permanently altering your code. It provides a safety net, allowing you to quickly discard unsatisfactory results and iterate until you find the most suitable solution for your programming task.
By leveraging the undo functionality, you can maintain control over your codebase while still benefiting from Copilot’s AI-powered assistance. It enables you to selectively accept or reject suggestions, ensuring that the final code meets your standards and requirements.
So, whenever you encounter Copilot suggestions that don’t quite fit your needs, remember that you can always undo them and try again. This feature enhances your productivity by giving you the freedom to explore multiple code completion options without compromising your codebase integrity.
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