There are now enough AI coding tools to build an entire workflow out of assistants talking to assistants.
The problem is no longer access to AI. The problem is deciding where it belongs in the development process without quietly handing over your judgment.
AI is great at reducing friction. It can trace unfamiliar code, generate tedious boilerplate, explain an API, propose refactors, write tests, hunt through logs, and suggest five possible causes for a bug before you finish your coffee.
Used well, it can feel like a super fast technical collaborator.
But speed creates its own trap. A plausible answer can feel finished long before it has actually been verified.
