ChatGPT prompt engineering is the practice of writing well-defined input prompts to guide AI in generating optimal or more accurate responses. Developers can structure their questions carefully to ensure that the output is more relevant. Prompt engineering requires understanding how different instructions, phrasing, and context affect AI's output. By mastering prompting techniques, developers can transform ChatGPT into a robust coding assistant capable of debugging complex code, generating precise snippets, and writing detailed documentation for Strapi v5 projects. Effective prompt examples include clearly defining issues, gathering error messages and relevant code snippets, and providing specific requirements and defined output formats. Iterative refinement of prompts produces increasingly valuable AI responses for tackling complex programming tasks. The prompt techniques outlined in this guide apply across various development scenarios, from debugging to integrations with platforms like Strapi v5. By applying these techniques, developers can optimize database queries and schema design, generate synthetic data for testing, create interactive tutorials and educational content, enhance Git commit messages and changelogs, and more, ultimately streamlining their development workflow and improving project outcomes.