The software industry is pushing a dangerous narrative: that AI tools have made software engineering obsolete. Large language models can generate code quickly, but this has created a delusion that expertise is no longer necessary. Code generation is impressive, but it's being mistaken for engineering discipline.

This isn't the first time we've seen this pattern. Every few years, a new tool emerges and someone declares that the difficult parts of software engineering have finally been solved. We heard similar claims about Visual Basic in the 1990s. The tools change, but the pattern rarely does. Productivity spikes initially, but then complexity grows and systems become unmanageable.

The fundamental misunderstanding is that writing code was never the hard part of software development. The real challenges lie in system architecture, design decisions, and understanding how changes propagate through complex systems. AI tools may accelerate code production, but they don't eliminate the need for careful reasoning about system behavior. In fact, they often make the problem worse by allowing developers to produce more code without understanding it.