What are best practices for using ChatGPT to handle code formatting in cloud-native apps?

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For using ChatGPT to format code in cloud-native apps, the primary best practice is to provide highly specific and detailed prompts, outlining desired formatting rules, language, and coding conventions. It's crucial to supply relevant code snippets or even partial configuration files to give the model adequate context. Utilize an iterative refinement process, adjusting prompts based on initial outputs to fine-tune the formatting. Importantly, ChatGPT should serve as a supplementary tool, complementing dedicated linters like Prettier or Black, and outputs must always undergo thorough human review before integration into the codebase. Avoid feeding highly sensitive proprietary code directly without proper anonymization, focusing instead on structural or stylistic elements. Ultimately, it helps maintain code consistency across microservices, but human oversight remains paramount.