Prompt Engineering Part 4 🚀 | Debugging & Fixing Code with AI | By MNC Software Engineer

🚀 *Prompt Engineering for Software Engineers — Part 4* Learn how to debug errors and fix bugs using AI coding assistants like ChatGPT and Gemini. In this practical tutorial, you'll learn how to write better debugging prompts to identify root causes, fix errors, and avoid unnecessary code changes. 💻 *What You'll Learn:* ✅ Bad Prompt vs Good Prompt for debugging ✅ How to provide stack traces and error logs to AI ✅ How to identify the root cause of a bug ✅ How to fix Kotlin and Android errors ✅ How to debug existing software projects ✅ How to avoid unnecessary code changes ✅ How to generate regression tests ✅ How to verify AI-generated fixes ✅ Practical debugging techniques for Android, iOS, Kotlin Multiplatform, web, and backend development 👨‍💻 *By MNC Software Engineer* This is Part 4 of the Prompt Engineering for Software Engineers series. 🎯 *Today's Lesson:* Don't just ask AI to fix an error. Give it the error message, relevant code, reproduction steps, and expected behavior. 📌 Watch the previous parts to learn prompt engineering fundamentals, project context, constraints, and acceptance criteria. 👍 Like, share, and subscribe for more practical AI coding tutorials. #PromptEngineering #Debugging #SoftwareEngineering