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GitHub Copilot Prompt Generator for Software Development
Describe your software development task in plain words and get an engineered GitHub Copilot prompt — an engineering ticket: goal, context, requirements, constraints and acceptance criteria. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
GitHub Copilot prompt generator
GitHub Copilot · coding
You are a senior full-stack engineer who writes clean, secure, tested, production-ready code. ## Goal Implement a rate-limiter middleware for our Express API (100 requests per minute per API key). ## Context - Users: our public API customers - Stack and constraints: TypeScript, Express 5, Redis for shared counters; return HTTP 429 with a Retry-After header - Default stack if not specified: TypeScript on Node.js 20 ## Requirements 1. Input validation with clear error messages 2. Unit tests for the main paths and edge cases 3. Logging of failures without leaking sensitive data ## Constraints - Follow the existing code style and folder structure. - Don't change unrelated code or public interfaces without asking. - Handle errors and edge cases; never hard-code secrets. - Add or update tests for the new behaviour. ## Acceptance criteria - Every requirement above works end to end. - Tests pass and the linter is clean. - Finish with a short summary of the changes and any trade-offs. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
1,090 chars · ~273 tokens
Open GitHub Copilot
- ›Open the relevant files first — Copilot Chat uses your open editors as context.
- ›Reference code with #file or ask in agent mode so Copilot can search the workspace.
- ›Ask for tests together with the implementation.
How the GitHub Copilot prompt is structured
GitHub Copilot works best with a ticket-style prompt: a clear goal, the context it can't see, numbered requirements, constraints and acceptance criteria it can check its own work against.
Every prompt is built from the same modular parts — role, task, context (your audience and details) and output format — then rendered in the style each AI follows best. Change the AI in the drop-down and the same request is rewritten instantly.
GitHub Copilot prompting tips
- Open the relevant files first — Copilot Chat uses your open editors as context.
- Reference code with #file or ask in agent mode so Copilot can search the workspace.
- Ask for tests together with the implementation.
Software Development prompt types
Choose a prompt type for software development; each comes with an expert role, context rules and an output format:
- New feature implementation — for example “a rate-limiter middleware for our Express API (100 requests per minute per API key)”.
- SaaS dashboard app — for example “an uptime-monitoring dashboard for small SaaS teams”.
Example output for GitHub Copilot:
You are a senior full-stack engineer who writes clean, secure, tested, production-ready code. ## Goal Implement a rate-limiter middleware for our Express API (100 requests per minute per API key). ## Context - Users: our public API customers - Stack and constraints: TypeScript, Express 5, Redis for shared counters; return HTTP 429 with a Retry-After header - Default stack if not specified: TypeScript on Node.js 20 ## Requirements 1. Input validation with clear error messages 2. Unit tests for the main paths and edge cases 3. Logging of failures without leaking sensitive data ## Constraints - Follow the existing code style and folder structure. - Don't change unrelated code or public interfaces without asking. - Handle errors and edge cases; never hard-code secrets. - Add or update tests for the new behaviour. ## Acceptance criteria - Every requirement above works end to end. - Tests pass and the linter is clean. - Finish with a short summary of the changes and any trade-offs. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
AI coding tools compared
| AI | Made by | Prompt style |
|---|---|---|
| GitHub Copilot | GitHub | an engineering ticket: goal, context, requirements, constraints and acceptance criteria |
| Cursor | Anysphere | an engineering ticket: goal, context, requirements, constraints and acceptance criteria |
| Lovable | Lovable | a product spec: features, screens, design and tech stack |
| Bolt.new | StackBlitz | a product spec: features, screens, design and tech stack |
| v0 | Vercel | a product spec: features, screens, design and tech stack |
| Replit Agent | Replit | a product spec: features, screens, design and tech stack |
Frequently asked questions
What is a GitHub Copilot prompt generator?
It turns a plain-language request into a structured prompt — role, task, context and output format — written the way GitHub Copilot follows best, so you get better answers on the first try.
Does this tool send my text to GitHub Copilot?
No. The prompt is assembled in your browser from templates. Nothing you type is sent to any server or AI until you paste it yourself.
Why does the prompt change when I switch AI?
Models are trained on different conventions: Claude responds well to XML tags, Gemini to Persona/Task/Context/Format, Midjourney to descriptors and --parameters, Suno to style tags and a lyric sheet. The generator rewrites the same request for each.
What if I leave a field empty?
The example shown in grey is used instead, so the prompt is always complete. Replace it with your own details for the best results.
Can I use these prompts for other software development tasks?
Yes. Pick the closest prompt type and describe your own task — the software development expertise in the role and context still applies.
Is the prompt generator free?
Yes — free, unlimited and no account needed.