AI-assisted coding vs. software engineering: why ownership and debugging matter more than generation

Short summary

The article argues that AI-assisted coding is not the same as software engineering — engineering begins after the code compiles, when systems break and someone must debug, defend, and own the consequences. It challenges readers to ask whether they could explain every architectural decision, debug production issues, and mentor others without AI. The message is not anti-AI but a call to use AI as an accelerator for learning, not a replacement for it.

• •AI lowers the barrier to writing code but not the bar for being a software engineer — engineering is about decisions, not typing
• •Real engineers are measured by how they handle production crashes, security issues, and system design, not by successful demos
• •The concern is dependency: if you can't explain or debug your own application without AI, you're not growing as an engineer

Generated with AI, which can make mistakes.