Unlike past speech recognition that failed by requiring precise syntax, modern AI assistants can interpret natural, conversational language. They infer the user's intent, successfully translating it into code without needing perfectly dictated syntax like angle brackets or semicolons.
The process of verbally explaining a complex problem to an AI assistant helps developers uncover solutions on their own. This mirrors the traditional "rubber ducking" debugging technique, where vocalizing a problem clarifies one's thinking and reveals the solution.
Dictating allows developers to remain in a "thinking mode" focused on the problem, rather than context-switching to the mechanical task of typing. This maintains uninterrupted mental focus on the problem, improving ideation and problem-solving.