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AI Prompts for Developers
Prompts for documentation, code review, testing, and project planning
15 copy-paste prompts
Documentation
Try with tool: README Generator →
1
Write a README.md for [project name]: description, installation, usage examples, API reference, and contributing guidelines.
2
Generate API documentation for this endpoint: [method] [path] — describe request body, headers, response, and error codes.
3
Write an Architecture Decision Record (ADR) for choosing [technology/approach] over [alternative] for [use case].
4
Create a changelog entry for version [X.Y.Z] from these commits: [paste commit messages].
5
Write inline code comments for this function explaining the 'why' not the 'what': [paste function].
Code Quality
1
Review this code for bugs, performance issues, and security vulnerabilities. Suggest fixes: [paste code].
2
Write unit tests for this function using [Jest/pytest/JUnit]: [paste function]. Cover happy path, edge cases, and errors.
3
Explain this code in plain English — what it does, why, and how: [paste code].
4
Refactor this code for readability and maintainability. Explain each change you make: [paste code].
5
Find potential SQL injection, XSS, or CSRF vulnerabilities in this code and suggest fixes: [paste code].
Planning & Specs
Try with tool: User Story Generator →
1
Write user stories with acceptance criteria for this feature: [describe feature]. Use 'As a... I want... So that...' format.
2
Create a technical specification for [feature] including architecture, data model, API design, and implementation phases.
3
Write a bug report for: [describe the bug]. Include steps to reproduce, expected vs actual behavior, and severity.
4
Estimate the effort for implementing [feature] — break it into subtasks with story points and dependencies.
5
Write a pull request description for these changes: [describe what you changed and why].
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