Debug. Understand. Fix. Ship. | Solving a Real Spring Boot Bug with Codex 🚀

🚀 Most AI coding demos start with building a Todo App. But real software engineering is very different. We spend most of our time: ✅ Understanding unfamiliar codebases ✅ Debugging issues ✅ Reading logs and stack traces ✅ Finding root causes ✅ Validating fixes before shipping In this video, I put Codex into a real developer workflow using a Spring Boot application inside VS Code. Instead of generating code from scratch, Codex helps: 🔍 Understand the project architecture 🐛 Investigate a failing test 🧠 Reason about the root cause 🛠️ Implement a safe fix ✅ Validate the solution The goal wasn't to see if Codex can write code. The goal was to see how it performs inside a realistic engineering workflow. Link - https://chatgpt.com/codex/?openaicom-... 📌 What you'll learn: • How Codex integrates with VS Code • Understanding an unfamiliar Spring Boot codebase • Debugging a real application issue • Using AI for root cause analysis • Reviewing and validating AI-generated changes • Best practices for working with coding agents 💡 Key Takeaway: The biggest value of AI isn't generating code faster. It's helping developers understand systems faster. And once you understand the system, everything else becomes easier. #Codex #OpenAI #SpringBoot #Java #SoftwareEngineering #BackendDevelopment #VSCode #Programming #Debugging #AIForDevelopers #JavaDeveloper #Microservices #CodeSnippet