Prompt Patterns for Code Generation: The Structure I Use for Runnable Output
Code-generation prompts need a different structure than text prompts. Here are the patterns I use to get runnable, reviewable output. Prompting for code generation is a different discipline than prompting for text or images. A prose prompt that is ninety percent right still produces useful output. A code prompt that is ninety percent right produces broken code, because the ten percent wrong is usually a syntax error or a logical bug that propagates through everything downstream. After writing thousands of code-generation prompts across feature work, refactors, and bug fixes, I have settled on a set of patterns that consistently produce runnable, reviewable code. This guide covers those patterns with concrete examples. Pattern One: State the Stack Before the Task Every code prompt I write opens with the technology stack and version, because the model defaults to whatever is most common in its training data, and that default is often wrong for my project. A prompt that asks for a form handler without naming the framework produces a React class component in some generations and a Vue options API component in others. Naming the stack up front removes that ambiguity. // Stack header pattern Stack: React 19 with TypeScript, Tailwind CSS v4, fetch for data Task: Build a debounce hook that cancels on unmount The stack header takes one line and saves me from rewriting the output to fit my project.