Prompting For Features, Logic, And Data
Explore how to create strong prompts that guide AI in developing dependable app features. Understand how to describe feature responsibilities, control logic rules, handle validations and edge cases, and manage data behavior to build trustworthy and functional applications through vibe coding.
A screen can look clear and still fail once the user starts doing real work. A booking form may appear complete, though it still needs rules about valid dates, available time slots, saved reservations, and confirmation. This is the part of vibe coding where we move from what the user sees to what the feature must actually do.
Many weak prompts only name the feature. Stronger prompts describe the responsibility of the feature, the logic that controls it, the checks that protect it, and the information it saves or updates. That starts with the job the feature is meant to handle.
Prompting for feature responsibility
A feature is a capability the app provides, such as booking an appointment, saving a note, or tracking an expense. When we prompt for a feature, we need to describe the responsibility of that capability in direct language.
Main responsibility
The main responsibility tells the model what the feature exists to do. This should be the central action, not a broad product idea.
Prompt: Create a booking feature that lets us reserve a one hour study room slot. |
This works because the request has one clear job. The model is not being asked to build a full event system. It is being asked to handle study room reservations.
What the feature should produce
The next step is to say what result the feature should create after the action happens. A good feature prompt usually names the output, not only the input.
Prompt: Create a booking feature that lets us reserve a one hour study room slot and then show the saved reservation with room name, date, and time. |
This makes the prompt stronger because the model now knows what useful result should appear after the reservation is made.
What belongs in the first version
Features often grow too early when the prompt ...