AI-assisted coding has a dangerous middle stage where the work looks more complete than it is.
The screen fills with code. The happy path runs. The demo is good enough to make everyone feel smart. Then a small load test arrives and the architecture folds. Security rules are missing. Pagination was ignored. Database connections were treated like an implementation detail instead of a scaling constraint.
That is the 75% illusion.
The tool did not fail because it was useless. It failed because it was treated like hope instead of help. Large language models are very good at producing plausible structure from incomplete intent. That is useful when the senior engineer is actively shaping the work. It is dangerous when the team reads speed as proof of rigor.
Spec-based coding changes the relationship. The human still owns boundaries, constraints, threat model, data shape, and production expectations. The AI can help produce, test, and revise. It should not be allowed to silently define what good means.
This is where senior engineers become mentors to agents. They do less typing, but the judgment requirement goes up. Architecture review matters more when code is cheap enough to arrive before the design has caught up.
AI can get you moving. It cannot be the part of the team that understands why moving in that direction is safe.
Related episode: Vibe Coding vs. Real Engineering: AI As Help, Not Hope.
