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
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