Learn vocabulary and patterns for writing prompts that produce high-quality code from AI tools.
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What makes a code generation prompt more specific and effective?
Effective code generation prompts specify the language/framework, exact function signature, input and output types, edge cases to handle, and any relevant constraints — leaving less ambiguity for the AI.
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What is 'few-shot prompting' for code generation?
Few-shot prompting provides examples in the prompt (e.g., 'here is a test with this pattern: [example]. Now write a test for this function:') — helping the AI match the desired style and format.
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What does 'system prompt' mean in AI coding assistants?
A system prompt is a set of instructions given to the AI at the start of a session, defining its role (e.g., 'You are a TypeScript expert'), constraints, and rules that apply to all subsequent requests.
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What is 'chain-of-thought prompting' in code generation?
Chain-of-thought prompting asks the AI to reason step-by-step before generating code ('First, think about the algorithm, then write the implementation'). This improves accuracy on complex, multi-step problems.
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What is an 'iteration prompt' in AI coding workflow?
An iteration prompt refines the AI's previous output: 'Now add error handling for the network timeout case' or 'Refactor this to use async/await instead of callbacks'. Iteration is key to producing production-quality AI-assisted code.