Cursor IDE Power User — 50 Production Workflow Prompts

Stop Using Cursor Like a Fancy Autocomplete — Make It Your Senior Engineering Partner

You're paying $20/month for Cursor but using maybe 10% of what it can do. These 50 prompts unlock the other 90% — turning Cursor into a production-grade engineering system that writes, refactors, tests, documents, and reviews code at a level that would take a senior developer years to match. Every prompt is tested across real production codebases with 100K+ lines of code.

This isn't a list of "write me a function" prompts. These are workflow systems — multi-step prompt chains that handle entire engineering tasks from start to finish, with {{variables}} you customize for your specific stack, codebase conventions, and team standards.

What's Inside — 50 Expert Prompts

.cursorrules Templates (Prompts 1-8)

• 1. Production .cursorrules Generator — Analyzes your codebase and generates a comprehensive .cursorrules file covering coding standards, file structure conventions, naming patterns, import ordering, error handling style, and testing expectations. Uses {{language}}, {{framework}}, {{test_framework}}, {{style_guide}} variables. Technique: meta-prompting with codebase analysis.
• 2. Team Convention Enforcer Rules — Creates .cursorrules that enforce your team's specific conventions: {{branch_naming}}, {{commit_format}}, {{pr_template}}, {{review_checklist}}. Includes anti-patterns your team has agreed to avoid.
• 3. Monorepo Navigation Rules — Specialized .cursorrules for monorepos with {{package_manager}}, {{workspace_structure}}, {{shared_lib_paths}}. Teaches Cursor which packages depend on which and how to navigate cross-package imports.
• 4. Security-First .cursorrules — Rules that make Cursor flag SQL injection, XSS, CSRF, hardcoded secrets, and insecure deserialization before you even ask. Customized for {{framework}} and {{auth_provider}}.
• 5. Performance-Aware Rules — Rules that make Cursor consider bundle size, N+1 queries, unnecessary re-renders, and memory leaks in every suggestion. Tuned for {{runtime}} (Node/Python/Go/Rust).
• 6. API Design Rules — Enforces RESTful conventions, versioning strategy, pagination patterns, error response formats per your {{api_style_guide}}.
• 7. Database-Aware Rules — Rules that understand your {{database}} schema conventions, migration patterns, indexing strategy, and query optimization preferences.
• 8. Testing Philosophy Rules — Encodes your team's testing pyramid: unit/integration/e2e ratios, mocking strategy, fixture patterns, and coverage expectations for {{test_framework}}.

Composer Mega-Prompts (Prompts 9-18)

• 9. Full Feature Implementation Chain — Multi-step Composer prompt that takes a {{feature_spec}} and generates: database migration, API endpoint, service layer, validation, tests, and documentation. Chain-of-thought decomposition ensures each layer is consistent.
• 10. API Endpoint Factory — Generates complete CRUD endpoints with validation, error handling, pagination, filtering, sorting, and OpenAPI documentation for {{resource_name}} in {{framework}}.
• 11. Authentication Flow Builder — Complete auth implementation: {{auth_type}} (JWT/OAuth/Session) with registration, login, password reset, email verification, rate limiting, and security headers.
• 12. Database Migration Architect — Creates reversible migrations with data backfill strategies, zero-downtime deployment considerations, and rollback plans for {{database_change}}.
• 13. Microservice Scaffolder — Generates a complete microservice from {{service_spec}}: Dockerfile, health checks, graceful shutdown, structured logging, metrics, circuit breaker, and inter-service communication.
• 14. GraphQL Schema-First Builder — Takes {{domain_model}} and generates: schema, resolvers, dataloaders, subscriptions, and type-safe client queries.
• 15. Event-Driven Architecture Prompt — Designs event schemas, producers, consumers, dead-letter handling, and idempotency for {{event_type}} in your {{message_broker}}.
• 16. Caching Strategy Implementer — Implements cache-aside, write-through, or write-behind patterns for {{resource}} with invalidation logic, TTL strategy, and cache warming.
• 17. Background Job System — Creates job queues with retry logic, dead-letter handling, priority scheduling, rate limiting, and monitoring for {{job_type}} using {{queue_system}}.
• 18. Real-Time Feature Builder — WebSocket/SSE implementation with room management, presence detection, typing indicators, reconnection logic for {{realtime_feature}}.

Multi-File Refactoring (Prompts 19-26)

• 19. Extract Service Object Pattern — Identifies god classes in your codebase and generates a refactoring plan: which methods to extract, new service boundaries, dependency injection setup, and updated tests. Uses tree-of-thought to evaluate 3 extraction strategies.
• 20. Legacy Code Modernization Chain — Takes {{legacy_pattern}} (callbacks, class components, raw SQL) and generates step-by-step migration to modern equivalents with zero regressions.
• 21. Type System Hardening — Adds strict TypeScript types, Zod schemas, or Python type hints across {{module}} with inference-based type generation and runtime validation.
• 22. Error Handling Standardizer — Replaces ad-hoc try/catch blocks with a consistent error hierarchy, error codes, user-friendly messages, and logging for {{module}}.
• 23. Dependency Injection Refactor — Converts hard-coded dependencies to injectable ones with container setup, factory patterns, and test doubles for {{module}}.
• 24. API Version Migration — Creates v1→v2 migration with backward compatibility layer, deprecation notices, and client migration guide for {{api_endpoint}}.
• 25. Database Query Optimization Sweep — Analyzes {{module}} for N+1 queries, missing indexes, unnecessary joins, and generates optimized queries with EXPLAIN analysis.
• 26. Component Library Extraction — Identifies reusable UI patterns across {{app}} and extracts them into a shared component library with Storybook stories and tests.

Debugging & Testing (Prompts 27-38)

• 27. Production Bug Reproducer — Takes {{error_log}} and generates: minimal reproduction, root cause hypothesis, fix with regression test, and similar-bug scanner.
• 28. Test Suite Generator — Generates comprehensive tests for {{module}}: unit tests, integration tests, edge cases, error paths, and property-based tests using {{test_framework}}.
• 29. Performance Profiling Prompt — Identifies bottlenecks in {{code_path}}: CPU profiling setup, memory analysis, async/await optimization, and benchmark harness.
• 30. Race Condition Detector — Analyzes concurrent code for race conditions, generates mutex/semaphore fixes, and creates stress tests to verify the fix.
• 31. Memory Leak Hunter — Systematic prompt chain for identifying memory leaks in {{runtime}}: heap snapshot analysis, closure audit, event listener tracking, and fix verification.
• 32. API Contract Testing — Generates consumer-driven contract tests for {{api_endpoint}} with schema validation, backward compatibility checks, and mock server setup.
• 33. E2E Test Scenario Builder — Creates Playwright/Cypress test scenarios for {{user_flow}} with page objects, fixtures, network mocking, and visual regression setup.
• 34. Load Test Script Generator — Creates k6/Artillery load test scripts for {{endpoint}} with ramp-up patterns, SLA thresholds, and result analysis templates.
• 35. Security Audit Prompt — OWASP Top 10 audit of {{module}}: injection testing, auth bypass attempts, IDOR checks, and remediation code.
• 36. Accessibility Audit Chain — WCAG 2.1 AA compliance check for {{component}}: semantic HTML, ARIA labels, keyboard navigation, screen reader testing, and fixes.
• 37. Flaky Test Fixer — Analyzes {{test_file}} for non-determinism: timing issues, shared state, network dependencies, and generates stable replacements.
• 38. Snapshot Test Updater — Intelligently reviews snapshot changes, determines if they're intentional or regressions, and generates updated snapshots with explanations.

Documentation & Code Review (Prompts 39-50)

• 39. Architecture Decision Record Generator — Creates ADRs for {{decision}}: context, options considered (with pros/cons), decision, consequences, and review date.
• 40. README Generator — Analyzes {{project}} and generates: overview, quickstart, architecture diagram (Mermaid), API reference, deployment guide, and contributing guidelines.
• 41. Changelog Automation — Parses git history and generates Keep-a-Changelog formatted entries grouped by type with links to PRs and issues.
• 42. Code Review Prompt — Reviews {{pull_request}} for: correctness, performance, security, readability, test coverage, and documentation. Uses self-consistency (3 review passes merged).
• 43. Onboarding Documentation — Generates new-developer onboarding docs for {{project}}: local setup, architecture overview, key abstractions, common tasks, and debugging tips.
• 44. API Documentation Generator — Creates OpenAPI/Swagger docs from {{code}} with examples, error responses, authentication details, and rate limit documentation.
• 45. Runbook Generator — Creates operational runbooks for {{service}}: health checks, common failures, escalation paths, rollback procedures, and monitoring dashboards.
• 46. PR Description Writer — Analyzes staged changes and generates: summary, motivation, changes breakdown, testing done, screenshots needed, and reviewer notes.
• 47. Technical Debt Cataloger — Scans {{codebase_area}} and categorizes tech debt by severity, effort, and business impact with prioritized remediation plan.
• 48. Migration Guide Writer — Creates step-by-step migration guides for {{breaking_change}} with before/after code examples, automated codemods, and rollback instructions.
• 49. Inline Documentation Enhancer — Adds JSDoc/docstring/Godoc comments to {{module}} with parameter descriptions, return types, examples, and @throws annotations.
• 50. Sprint Retrospective Code Analyzer — Reviews sprint's PRs and generates: patterns observed, recurring issues, refactoring opportunities, and team knowledge gaps.

Each Prompt Includes

• {{Variable}} slots — Every prompt has 3-8 customizable variables so it works with YOUR stack, not a generic example
• Expected output format — Exact structure of what the AI will produce (code blocks, file structure, markdown tables)
• Technique annotation — Which prompting technique powers each prompt (chain-of-thought, tree-of-thought, few-shot, CRTSE, meta-prompting, self-consistency)
• Anti-patterns section — Common mistakes that degrade output quality and how to avoid them
• Chaining instructions — Which prompts feed into which for multi-step workflows

Who This Is For

• Full-stack developers who use Cursor daily and want to 10x their output
• Tech leads who want to standardize how their team uses AI-assisted development
• Solo founders building production apps who need senior-engineer-level code without hiring one
• DevOps engineers who want Cursor to understand infrastructure-as-code patterns
• Open source maintainers who need consistent documentation and review quality

What Makes This Different

• Production-tested — Every prompt tested on codebases with 100K+ lines, not toy examples
• Workflow chains — Prompts connect into complete workflows (spec → code → test → review → deploy), not isolated one-offs
• .cursorrules integration — 8 templates that make every subsequent Cursor interaction smarter
• Multi-framework — Each prompt has variants for React/Vue/Svelte, Express/FastAPI/Rails, PostgreSQL/MongoDB/Redis

Works With

Cursor IDE (primary), plus ChatGPT (GPT-4+), Claude (Sonnet/Opus), and Gemini Pro for prompts used outside the IDE. Cross-model compatibility notes included for each prompt.