AI Prompts for Developers

Documentation

Try with tool: Генератор README →

1

Write a README.md for [project name]: description, installation, usage examples, API reference, and contributing guidelines.

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2

Generate API documentation for this endpoint: [method] [path] — describe request body, headers, response, and error codes.

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3

Write an Architecture Decision Record (ADR) for choosing [technology/approach] over [alternative] for [use case].

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4

Create a changelog entry for version [X.Y.Z] from these commits: [paste commit messages].

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5

Write inline code comments for this function explaining the 'why' not the 'what': [paste function].

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Code Quality

1

Review this code for bugs, performance issues, and security vulnerabilities. Suggest fixes: [paste code].

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2

Write unit tests for this function using [Jest/pytest/JUnit]: [paste function]. Cover happy path, edge cases, and errors.

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3

Explain this code in plain English — what it does, why, and how: [paste code].

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4

Refactor this code for readability and maintainability. Explain each change you make: [paste code].

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5

Find potential SQL injection, XSS, or CSRF vulnerabilities in this code and suggest fixes: [paste code].

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Planning & Specs

Try with tool: Генератор пользовательских историй →

1

Write user stories with acceptance criteria for this feature: [describe feature]. Use 'As a... I want... So that...' format.

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2

Create a technical specification for [feature] including architecture, data model, API design, and implementation phases.

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3

Write a bug report for: [describe the bug]. Include steps to reproduce, expected vs actual behavior, and severity.

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4

Estimate the effort for implementing [feature] — break it into subtasks with story points and dependencies.

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5

Write a pull request description for these changes: [describe what you changed and why].

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