How to Dictate Coding Prompts with Clear Requirements

A useful coding prompt describes a problem well enough that another person or tool can work on it without guessing at your intent. Speaking can help you explain the context in your own words. The next step is turning that explanation into clear requirements.

Dictating a coding prompt does not mean dictating every character of the implementation. Focus on behavior, constraints, and a way to tell whether the change works. Keep exact identifiers available for the review step.

Explain four things out loud

Start with the goal: what should the user be able to do? Then explain the current behavior, the boundaries of the change, and the expected result. These four pieces keep the request grounded.

Here is an illustrative spoken bug report:

On the contact form, clicking Submit twice creates two requests. Keep the existing endpoint and validation. While a request is pending, disable the submit button. If it fails, show the error and let me retry. If it succeeds, show the confirmation once.

The request says what is wrong and what should happen. It also protects two things that do not need to change: the endpoint and validation. That context is more useful than simply asking to improve the form.

Turn the explanation into a brief

Choose a formatting instruction that makes the requirements easy to scan. For example:

Organize this as Goal, Current behavior, Constraints, and Acceptance criteria. Preserve the stated behavior. Mark missing implementation details as questions rather than inventing them.

An illustrative outline for the contact form would contain:

• Goal: Prevent duplicate submissions while preserving a clear retry path.
• Current behavior: Two clicks can create two requests.
• Constraints: Keep the existing endpoint and validation.
• Acceptance criteria: Disable submission while pending; show one confirmation on success; show an error and allow retry on failure.

This outline is a starting point. It does not prove which part of the code is responsible, and it is not a substitute for inspecting the implementation.

Review exact details before handing it over

Natural-language requirements and literal code identifiers need different kinds of attention. Check filenames, method names, package versions, command flags, and any quoted error text against the source. Correct those details in the draft rather than assuming a transcription captured them perfectly.

Also check for added scope. A prompt that originally asked for one form fix should not quietly become a request for a new data layer, a redesigned page, and different validation rules.

• Does each acceptance criterion come from the intended behavior?
• Are success, failure, and retry states described?
• Are constraints specific enough to guide implementation?
• Are unknowns written as questions?
• Does the prompt distinguish observed behavior from your suspected cause?

If you have not inspected the code, say so. “I suspect the handler runs twice” is different from “the handler runs twice,” and that distinction helps the next person investigate.

Choose a useful amount of detail

A small bug report may need only a short brief. A larger feature may need separate notes for user behavior, data handling, and acceptance criteria. More words are helpful only when they reduce ambiguity.

Sonicribe’s new cloud product includes structured coding prompts with language and detail settings. See the developer use case for examples, or the custom formatting guide for instruction patterns you can adapt. These workflows produce text for review; they do not run code or validate the resulting implementation.

The separate cloud app download is being prepared. A verified Google account and internet access are required. Check the plans and release status before planning your setup.