Describe behavior, not just syntax
A good request explains inputs, outputs, constraints, and expected behavior. That gives the AI more useful information than a vague request.
CODE GENERATION
Describe the behavior you need and use AI to create implementation candidates for functions, components, APIs, tests, and repetitive development tasks.
A PRACTICAL AI WORKFLOW
Good AI coding experiences connect natural-language intent with the actual software being changed.
A good request explains inputs, outputs, constraints, and expected behavior. That gives the AI more useful information than a vague request.
Examples and neighboring code help generated output fit your project's conventions and architecture.
Generated code can contain assumptions or edge cases. Review the diff and validate behavior before committing the change.
ILLUSTRATIVE WORKFLOW
The interface shown here uses dummy data for demonstration. A real development task can move through planning, project inspection, code changes, review, and validation.
EXPLORE MORE
Continue to the pages that cover adjacent coding workflows and developer use cases.
FAQ
Common examples include functions, UI components, API handlers, tests, documentation, and configuration snippets.
Provide clear requirements, constraints, examples, and relevant project context, then iterate on the output.
No. Generated code should be reviewed, tested, and checked for security and correctness.
START BUILDING
Start with a question, an existing project, or a new idea and move toward a reviewed implementation.
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