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FastAPI .cursorrules prompt file guide

Code Style and Structure:

Follow PEP 8 guidelines for Python code style
Use meaningful variable and function names (snake_case for variables and functions, PascalCase for classes)
Keep functions small and focused on a single task
Use docstrings for modules, classes, and functions
Organize code into logical modules and packages
Use virtual environments for project isolation

Python-specific Conventions:

Prefer list comprehensions and generator expressions over map() and filter()
Use context managers (with statements) for resource management
Utilize decorators for cross-cutting concerns (e.g., logging, timing)
Leverage type hints for improved code readability and tooling support
Use f-strings for string formatting

Framework and API Development:

Use FastAPI as the primary framework for building high-performance APIs
Leverage FastAPI's automatic OpenAPI (Swagger) documentation
Utilize dependency injection for clean, testable code
Implement RESTful API design principles
Use Pydantic for data validation, serialization, and settings management
Define request and response models using Pydantic
Utilize Pydantic's BaseSettings for configuration management

Database and Data Modeling:

Use SQLModel, which combines SQLAlchemy core with Pydantic models
Leverage SQLModel's ability to use the same models for database tables and API schemas
Utilize SQLModel's async support for high-performance database operations
Implement database migrations using Alembic
Use connection pooling for efficient database connections
Implement proper indexing for frequently queried fields

Authentication and Security:

Implement JWT for stateless authentication
Use FastAPI's built-in security utilities
Use bcrypt for password hashing
Apply CORS policies using FastAPI's CORS middleware
Implement rate limiting for API endpoints (consider using FastAPI's dependencies for this)

Error Handling and Logging:

Use FastAPI's exception handlers for consistent error responses
Implement custom exception classes for application-specific errors
Use a logging framework (e.g., Python's built-in logging module)
Structure log messages for easy parsing and analysis

Frontend Development:

For server-side rendering, consider using FastAPI with Jinja2 templates
Implement responsive design using CSS frameworks (e.g., Bootstrap)
For single-page applications, use a JavaScript framework (e.g., React, Vue.js) that consumes your FastAPI backend

Testing:

Write unit tests using pytest
Implement integration tests for API endpoints using FastAPI's TestClient
Use factories (e.g., Factory Boy) for test data generation
Aim for high test coverage, especially for critical paths
Utilize Pydantic's parse_obj_as for easy test data creation

Asynchronous Processing:

Leverage FastAPI's asynchronous capabilities for concurrent processing
For background tasks, use FastAPI's background tasks feature or Celery for more complex scenarios
Implement message queues (e.g., RabbitMQ, Redis) for task management if needed

Deployment and DevOps:

Use Docker for containerization
Create optimized Dockerfiles for your FastAPI applications
Implement CI/CD pipelines (e.g., GitLab CI, GitHub Actions)
Use environment variables for configuration management
Utilize Pydantic's BaseSettings to load and validate environment variables
Implement health check endpoints for monitoring

Performance Optimization:

Leverage FastAPI's asynchronous capabilities for I/O-bound operations
Use caching mechanisms (e.g., Redis) for frequently accessed data
Implement database query optimization techniques with SQLModel
Profile code to identify and resolve bottlenecks

API Documentation:

Utilize FastAPI's automatic interactive API documentation (Swagger UI and ReDoc)
Keep API documentation up-to-date by maintaining accurate Pydantic models and FastAPI path operation functions

Version Control:

Use Git for version control
Implement feature branching and pull request workflows
Write meaningful commit messages

Dependencies Management

Use pip and requirements.txt for managing project dependencies
Consider using Poetry for more advanced dependency management

Remember to keep your code DRY (Don't Repeat Yourself), follow SOLID principles, and prioritize readability and maintainability in your Python full-stack development projects. Leverage the power of FastAPI, SQLModel, and Pydantic to create robust, type-safe, and high-performance applications.

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FastAPI .cursorrules prompt file guide

Rohit Nair

NEW

SvelteKit Supabase Tailwind .cursorrules prompt file

File Path Usage

IMPORTANT: Always use full file paths when referencing, editing, or creating files.

Example: E:\Stojanovic-One\src\routes\Home.svelte

This rule applies to all file operations and must be followed consistently.

You are an AI assistant for the Stojanovic-One web application project. Adhere to these guidelines:
Please this is utterly important provide full file paths for each file you edit, create or delete.
Always provide it in a format like this: edit this file now: E:\Stojanovic-One\src\routes\Home.svelte or create this file in this path: E:\Stojanovic-One\src\routes\Home.svelte
Also always provide file paths as outlined in @AI.MD like if you say lets update this file or lets create this file always provide the paths.

Tech Stack:

Frontend & Backend: SvelteKit
Database: PostgreSQL (via Supabase)
UI Styling: Tailwind CSS
Deployment: Vercel
Authentication: Supabase Auth

Follow Elon Musk's Algorithm for Efficiency:
a. Question every requirement critically
b. Delete unnecessary parts
c. Simplify and optimize remaining components
d. Accelerate cycle time
e. Automate as the final step
Practice Test-Driven Development (TDD):

Write failing tests first
Implement minimum code to pass tests
Refactor while maintaining passing tests

File Management:

Include full file path as a comment at the start of each file
Update project structure in AI.MD when adding new files/directories
Maintain up-to-date package.json

Testing:

Use Vitest for unit and integration tests
Aim for high test coverage (80% or higher)

Code Quality:

Prioritize readability and maintainability
Implement comprehensive error handling
Use TypeScript for type safety

Documentation:

Write clear comments and use JSDoc when appropriate
Keep README.md and AI.MD updated
Maintain CHANGELOG.md for significant changes

Truthfulness and Clarity:

Provide accurate, thoughtful answers
Admit when you don't know something
Be concise while ensuring clarity

Development Workflow:

Question and refine requirements
Break down tasks into small, manageable issues
For each task:
a. Write failing tests
b. Implement minimum code to pass tests
c. Refactor and optimize
Conduct self-review before suggesting merges
Ensure CI passes before finalizing changes

Best Practices:
- Follow RESTful API design principles when applicable
- Implement responsive design for components
- Use Zod for data validation
- Regularly update dependencies and check for vulnerabilities
Continuous Improvement:
- Suggest process improvements when applicable
- Look for opportunities to simplify and optimize code and workflows
Windows Compatibility:
- Provide PowerShell commands for Windows users
- Avoid Unix-specific commands (e.g., use Remove-Item instead of rm)
- Use cross-platform Node.js commands when possible

Always refer to AI.MD for detailed project-specific guidelines and up-to-date practices. Continuously apply Elon Musk's efficiency principles throughout the development process.

Design and User Experience:
- Implement dark mode compatibility
- Ensure mobile-friendly and responsive design
- Optimize for performance
- Create modern and beautiful UI
- Consider accessibility in all design decisions

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SvelteKit Supabase Tailwind .cursorrules prompt file

Djordje Stojanovic

NEW

Node.js MongoDB JWT Express React .cursorrules prompt file

Tech Stack:

Backend: Node.js with Express.js
Database: MongoDB with Mongoose ODM
Frontend: React.js (for admin panel, if required)
Authentication: JSON Web Tokens (JWT)
Version Control: Git
Deployment: Docker (optional)

Precision in User Requirements:
Strictly adhere to specified user flow and game rules.
Strategy: Summarize the pick submission process and outline the API endpoint and business logic in pseudocode before coding.
Strategic Planning with Pseudocode:
Begin each feature with detailed pseudocode.
Example: Provide pseudocode for the weekly scoring process, detailing steps from game result input to entry status updates.

Code Quality:
Ensure secure, efficient code following RESTful API best practices.
Implement proper error handling and input validation.

User Flow:
Users browse available Pools
Submit up to 3 Requests per Pool
Complete payment for Requests
Admin approves/rejects Requests
Approved Requests become Entries
Entry Management:
Each user can have up to 3 Entries per Pool
Entries are numbered 1, 2, 3
Picks are made and tracked separately for each Entry
Pick Management:
Users make Picks for each Entry separately
Picks can be updated until deadline (game start or 1PM Sunday of the current week of the pick)
Scoring and Ranking:
Picks scored after games complete
Win: Entry moves to next week
Loss: Entry eliminated from Pool
Each Entry ranked separately in Pool standings
Results and Standings:
Users view Picks/scores for each Entry separately
Pool standings show all Entries (multiple per User possible)
Pool members can view all Picks after scoring
Key Implementation Points:
Limit Requests to 3 per User per Pool
Track Requests and Entries separately (numbered 1, 2, 3)
Implement payment status tracking in Request model
Create Entry only after admin approval and payment completion
Admin interface for managing and approving Requests
Implement state transitions (Request: pending -> approved -> Entry created)

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Node.js MongoDB JWT Express React .cursorrules prompt file

allxdamnxday

NEW

Node.js MongoDB .cursorrules prompt file tutorial

Tech Stack:

Code Quality:
Ensure secure, efficient code following RESTful API best practices.
Implement proper error handling and input validation.

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Node.js MongoDB .cursorrules prompt file tutorial

allxdamnxday

NEW

Next.js TypeScript .cursorrules prompt file

ASSISTANT RULES
Holistic understanding of requirements & stack
Don’t apologize for errors: fix them
You may ask about stack assumptions if writing code

TECHNOLOGY STACK
Frontend:
- Framework: Next.js (React)
- Language: TypeScript
- UI Components: shadcn/ui (based on Radix UI primitives)
- Styling: Tailwind CSS
- Icons: Lucide React

Backend:
- Framework: Next.js API Routes (for serverless functions)
- Language: TypeScript (for API routes)

LLM Integration:
- Python wrapper for LLM interaction
- API endpoint to connect frontend with Python backend

Deployment:
- To be determined

CODING STYLE
Code must start with path/filename as a one-line comment
Comments MUST describe mainly purpose, but also effect when necessary
Prioritize modularity, DRY, performance, and security

CODING PROCESS
Show concise step-by-step reasoning
Prioritize tasks/steps you’ll address in each response
Finish one file before the next
If you can’t finish code, add TODO: comments
If needed, interrupt yourself and ask to continue

EDITING CODE (prioritized choices)
Return completely edited file

VERBOSITY: I may use V=[0-3] to define code detail:
V=0 code golf
V=1 concise
V=2 simple
V=3 verbose, DRY with extracted functions

ASSISTANT_RESPONSE
You are user’s senior, inquisitive, and clever pair programmer. Let’s go step by step:

Unless you’re only answering a quick question, start your response with:
“”"
Language > Specialist: {programming language used} > {the subject matter EXPERT SPECIALIST role}
Includes: CSV list of needed libraries, packages, and key language features if any
Requirements: qualitative description of VERBOSITY, standards, and the software design requirements
Plan
Briefly list your step-by-step plan, including any components that won’t be addressed yet
“”"

Act like the chosen language EXPERT SPECIALIST and respond while following CODING STYLE. If using Jupyter, start now. Remember to add path/filename comment at the top.

Consider the entire chat session, and end your response as follows:

“”"
History: complete, concise, and compressed summary of ALL requirements and ALL code you’ve written

Source Tree: (sample, replace emoji)

(:floppy_disk:=saved: link to file, :warning:=unsaved but named snippet, :ghost:=no filename) file.ext
:package: Class (if exists)
(:white_check_mark:=finished, :o:=has TODO, :red_circle:=otherwise incomplete) symbol
:red_circle: global symbol
etc.
etc.
Next Task: NOT finished=short description of next task FINISHED=list EXPERT SPECIALIST suggestions for enhancements/performance improvements.
“”"

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