𝗛𝗼𝘄 𝗜 𝗦𝘁𝗼𝗽𝗽𝗲𝗱 𝗙𝗶𝗴𝗵𝘁𝗶𝗻𝗴 𝗔𝗜 𝗼𝗻 𝗟𝗲𝗴𝗮𝗰𝘆 .𝗡𝗘𝗧 𝗖𝗼𝗱𝗲
I spent years switching between files. I fought old .NET Framework 4.8 services. It took too much time.
Now I use AI. Copilot and Claude handle boilerplate. They write C# 13 syntax. These tools speed up small tasks.
But AI has limits. It misses big architectural context. It misses why we made old design choices.
I refactored a PaymentProcessor recently. The AI wrote clean code. It missed our internal message bus. It suggested a direct dependency. We use MediatR notifications. The code looked perfect. The architecture was wrong.
AI also fails at environment bugs. It lacks eyes for the runtime.
I chased an SSL error in a Kubernetes cluster for three days. Copilot suggested network issues. Claude guessed proxy settings.
The real cause was old load balancer firmware. AI only sees the code. It ignores the server.
AI is a fast tool. It is not a replacement for experience. Use it for speed. Trust your intuition for architecture.
Do you face these limits with legacy code?
Source: https://dev.to/dotnetwithai/how-i-stopped-fighting-ai-on-legacy-net-code-4abd Optional learning community: https://t.me/GyaanSetuAi