Copilot Prompt
Generator.
Free builder for GitHub Copilot, Cursor, Windsurf, and Claude Code. Inline comment, chat-style, and test-first formats.
Prompts that sit naturally in your code file and produce tighter, on-spec completions.
Describe what you want
3 prompt variations
Click Copy to use// Language: TypeScript // Style: idiomatic for the language // Task: [describe the task] // Implementation below:
Act as an expert TypeScript engineer. # TASK [describe the task] # STYLE Idiomatic for the language # OUTPUT Deliver only the code block, with inline comments only where they explain intent. No surrounding explanation.
# ROLE You are a TypeScript engineer practicing test-driven development. # TASK [describe the task] # PROCESS 1. Write the test first. Cover: happy path, boundary cases, error cases. 2. Show the failing test output shape. 3. Write the minimal implementation that passes the tests. 4. If the implementation reveals a missing test case, add it and iterate. Style: Idiomatic for the language. # OUTPUT Show tests, then implementation, in separate code blocks.
Under the hood
Why Copilot prompts need local context.
Copilot completes based on what it can see in the current file. Generic completions almost always mean the file lacked the types, interfaces, or neighboring functions that would have anchored the task.
Naming the language, framework, and style explicitly in the comment protects against the model defaulting to a common pattern when context is thin. Small addition, big accuracy lift.
Test-first prompts force the model to commit to behavior before implementation. That produces cleaner code with fewer edge case bugs, and doubles as documentation for future readers.
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FAQ
Questions about Copilot prompting.
How is Copilot prompting different from ChatGPT prompting?+
Copilot prompts sit inside a code file, so they have to double as documentation. A good Copilot prompt is a comment block that looks natural in the source file, names the language and framework, and gives enough context (types, existing interfaces) for Copilot to complete the implementation that follows.
Inline comment vs Copilot Chat, which should I use?+
Inline comment for single-function tasks where you want Copilot to complete the code right below the comment. Copilot Chat for multi-file changes, refactors, or explanations. Chat has more context but inline is faster for the everyday case of 'write this one function'.
What context does Copilot actually see?+
Copilot sees the current file (up to a limit), the comment or prompt you wrote, and in newer versions a small window of related files in the workspace. If Copilot is producing generic code, the fix is almost always to add more local context: existing types, the interface it should implement, or a similar function in the same file.
Does this work with Cursor, Windsurf, and Claude Code?+
Yes. Cursor and Windsurf accept the same inline comment and chat-style prompts. Claude Code is a CLI that takes the chat-style variant directly. The test-first variant works with all three because TDD framing is model-agnostic.
How does the test-driven variant change the output?+
It forces the model to write tests first, then an implementation that passes them. For Copilot and Claude, this produces noticeably tighter code with fewer edge case bugs. It also doubles as documentation for future readers. Slightly more tokens but often worth it for non-trivial functions.
Should I specify the language if Copilot can infer it from the file?+
Yes. Even with file context, naming the language explicitly in the prompt improves completion accuracy, especially for multi-language files (TSX with embedded SQL, Python with inline shell commands). It also protects against cases where the model defaults to its 'most common' language when the file context is thin.
Why are short prompts sometimes better than long ones?+
Copilot is a completion model at heart. It predicts what comes next in the file. A very long prompt pushes relevant context out of its window and can actually hurt completion quality. For straightforward tasks, a crisp comment plus the relevant types is usually enough.
Can I use this for refactoring existing code?+
Yes, pick the refactor task type. The generator will frame the prompt around 'improve this code' with before/after structure. For bigger refactors use Copilot Chat (the chat-style variant) because it handles multi-file context better than inline.