The narrative is backwards
There's a narrative going around that AI is making software engineering easier. I think it's getting the direction wrong.
AI is making it easier to generate code, build prototypes, and move from idea to output faster than ever. That part is real and significant. But the act of writing code was never the hardest part of software engineering. Understanding the problem was. Defining the right architecture was. Translating what a client actually needs into reliable system behavior was. Testing, validating, maintaining, and scaling software over time was.
None of that got easier because an LLM can produce a function in three seconds.
The gap is widening, not shrinking
