What AI Gets Wrong About Software Development
AI is extremely good at producing plausible code.
That is both its strength and its danger.
A generated solution can look polished while quietly breaking an earlier feature. It can solve the current prompt while forgetting why a previous workaround existed. It can make a project feel like it is moving fast while introducing subtle regressions.
The lesson is not that AI is bad at software. The lesson is that AI-assisted development still needs discipline.
Version control matters. Checklists matter. Changelogs matter. Small testable builds matter. Documentation matters.
The more capable the assistant becomes, the more important it is for the human to define what must not break.