Best practices for using AI in debugging and testing
- Clear and detailed descriptions: When describing issues to ChatGPT, be as detailed as possible. Include error messages, the context of the problem, and any relevant code.
- Iterative refinement: Use ChatGPT and Copilot iteratively. Start with broad questions and narrow down to specific issues as you refine the code.
- Validation: Always validate AI-generated code in a development environment before deploying it to production.
- Documenting prompts and responses: Maintain a separate document to track the prompts and responses. This helps in understanding the evolution of the solution and can serve as a reference for future debugging.
By using ChatGPT and Copilot, Sarah can streamline her debugging and testing process, making her development workflow more efficient and effective. These AI tools not only help resolve issues quickly but also enhance Sarah’s coding skills by providing insights and best practices...
