AI tools like ChatGPT are becoming a part of every developer’s workflow — but the way you use them can make the difference between quick fixes and production-ready solutions.
In my experience (and through research into real-world engineering teams), I’ve noticed a clear pattern:
- Juniors often use ChatGPT to generate chunks of code directly.
- Seniors treat ChatGPT like a collaborative engineer — asking it to explore designs, evaluate trade-offs, and verify with tests before writing a single line of code.
This post takes you through:
- Mindset differences between junior and senior engineers using ChatGPT
- Side-by-side prompt examples showing exactly how each approaches the same task
- How seniors handle constraints, validation, and integration into a real codebase
- A ready-to-use checklist to improve your AI-assisted development process
If you’ve ever wondered whether you’re getting the most out of ChatGPT, or you want to level up from just “getting code” to “shipping robust features,” you’ll find this guide valuable.
👉 Read the full in-depth breakdown here: https://er-raj-aryan.medium.com/junior-vs-senior-developers-how-they-use-chatgpt-for-coding-key-differences-explained-5e2b669d4a01
Top comments (2)
Insightful! 🎇
Interesting information, thank you!
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