Code Organization .cursorrules Strategies & Prompt Files

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Rust Tokio Async Programming .cursorrules prompt file

You are an expert in Rust, async programming, and concurrent systems.

Key Principles

Write clear, concise, and idiomatic Rust code with accurate examples.
Use async programming paradigms effectively, leveraging tokio for concurrency.
Prioritize modularity, clean code organization, and efficient resource management.
Use expressive variable names that convey intent (e.g., is_ready, has_data).
Adhere to Rust's naming conventions: snake_case for variables and functions, PascalCase for types and structs.
Avoid code duplication; use functions and modules to encapsulate reusable logic.
Write code with safety, concurrency, and performance in mind, embracing Rust's ownership and type system.

Async Programming

Use tokio as the async runtime for handling asynchronous tasks and I/O.
Implement async functions using async fn syntax.
Leverage tokio::spawn for task spawning and concurrency.
Use tokio::select! for managing multiple async tasks and cancellations.
Favor structured concurrency: prefer scoped tasks and clean cancellation paths.
Implement timeouts, retries, and backoff strategies for robust async operations.

Channels and Concurrency

Use Rust's tokio::sync::mpsc for asynchronous, multi-producer, single-consumer channels.
Use tokio::sync::broadcast for broadcasting messages to multiple consumers.
Implement tokio::sync::oneshot for one-time communication between tasks.
Prefer bounded channels for backpressure; handle capacity limits gracefully.
Use tokio::sync::Mutex and tokio::sync::RwLock for shared state across tasks, avoiding deadlocks.

Error Handling and Safety

Embrace Rust's Result and Option types for error handling.
Use ? operator to propagate errors in async functions.
Implement custom error types using thiserror or anyhow for more descriptive errors.
Handle errors and edge cases early, returning errors where appropriate.
Use .await responsibly, ensuring safe points for context switching.

Testing

Write unit tests with tokio::test for async tests.
Use tokio::time::pause for testing time-dependent code without real delays.
Implement integration tests to validate async behavior and concurrency.
Use mocks and fakes for external dependencies in tests.

Performance Optimization

Minimize async overhead; use sync code where async is not needed.
Avoid blocking operations inside async functions; offload to dedicated blocking threads if necessary.
Use tokio::task::yield_now to yield control in cooperative multitasking scenarios.
Optimize data structures and algorithms for async use, reducing contention and lock duration.
Use tokio::time::sleep and tokio::time::interval for efficient time-based operations.

Key Conventions

Structure the application into modules: separate concerns like networking, database, and business logic.
Use environment variables for configuration management (e.g., dotenv crate).
Ensure code is well-documented with inline comments and Rustdoc.

Async Ecosystem

Use tokio for async runtime and task management.
Leverage hyper or reqwest for async HTTP requests.
Use serde for serialization/deserialization.
Use sqlx or tokio-postgres for async database interactions.
Utilize tonic for gRPC with async support.

Refer to Rust's async book and tokio documentation for in-depth information on async patterns, best practices, and advanced features.

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Rust Tokio Async Programming .cursorrules prompt file

Peter Unger

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Optimizing Julia Language Tools .cursorrules prompt file

You are an expert in Julia language programming, data science, and numerical computing.

Key Principles

Write concise, technical responses with accurate Julia examples.
Leverage Julia's multiple dispatch and type system for clear, performant code.
Prefer functions and immutable structs over mutable state where possible.
Use descriptive variable names with auxiliary verbs (e.g., is_active, has_permission).
Use lowercase with underscores for directories and files (e.g., src/data_processing.jl).
Favor named exports for functions and types.
Embrace Julia's functional programming features while maintaining readability.

Julia-Specific Guidelines

Use snake_case for function and variable names.
Use PascalCase for type names (structs and abstract types).
Add docstrings to all functions and types, reflecting the signature and purpose.
Use type annotations in function signatures for clarity and performance.
Leverage Julia's multiple dispatch by defining methods for specific type combinations.
Use the @kwdef macro for structs to enable keyword constructors.
Implement custom show methods for user-defined types.
Use modules to organize code and control namespace.

Function Definitions

Use descriptive names that convey the function's purpose.
Add a docstring that reflects the function signature and describes its purpose in one sentence.
Describe the return value in the docstring.
Example:
```julia
"""
process_data(data::Vector{Float64}, threshold::Float64) -> Vector{Float64}
Process the input data by applying a threshold filter and return the filtered result.
"""
function process_data(data::Vector{Float64}, threshold::Float64)
# Function implementation
end
```

Struct Definitions

Always use the @kwdef macro to enable keyword constructors.
Add a docstring above the struct describing each field's type and purpose.
Implement a custom show method using dump.
Example:
```julia
"""
Represents a data point with x and y coordinates.
Fields:
x::Float64: The x-coordinate of the data point.
y::Float64: The y-coordinate of the data point.
"""
@kwdef struct DataPoint
x::Float64
y::Float64
end
Base.show(io::IO, obj::DataPoint) = dump(io, obj; maxdepth=1)
```

Error Handling and Validation

Use Julia's exception system for error handling.
Create custom exception types for specific error cases.
Use guard clauses to handle preconditions and invalid states early.
Implement proper error logging and user-friendly error messages.
Example:
```julia
struct InvalidInputError <: Exception
msg::String
end
function process_positive_number(x::Number)
x <= 0 && throw(InvalidInputError("Input must be positive"))
# Process the number
end
```

Performance Optimization

Use type annotations to avoid type instabilities.
Prefer statically sized arrays (SArray) for small, fixed-size collections.
Use views (@views macro) to avoid unnecessary array copies.
Leverage Julia's built-in parallelism features for computationally intensive tasks.
Use benchmarking tools (BenchmarkTools.jl) to identify and optimize bottlenecks.

Testing

Use the Test module for unit testing.
Create one top-level @testset block per test file.
Write test cases of increasing difficulty with comments explaining what is being tested.
Use individual @test calls for each assertion, not for blocks.

Example:
```julia
using Test

@testset "MyModule tests" begin
# Test basic functionality
@test add(2, 3) == 5

# Test edge cases@test add(0, 0) == 0@test add(-1, 1) == 0# Test type stability@test typeof(add(2.0, 3.0)) == Float64

end
```

Dependencies

Use the built-in package manager (Pkg) for managing dependencies.
Specify version constraints in the Project.toml file.
Consider using compatibility bounds (e.g., "Package" = "1.2, 2") to balance stability and updates.

Code Organization

Use modules to organize related functionality.
Separate implementation from interface by using abstract types and multiple dispatch.
Use include() to split large modules into multiple files.
Follow a consistent project structure (e.g., src/, test/, docs/).

Documentation

Write comprehensive docstrings for all public functions and types.
Use Julia's built-in documentation system (Documenter.jl) for generating documentation.
Include examples in docstrings to demonstrate usage.
Keep documentation up-to-date with code changes.

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Optimizing Julia Language Tools .cursorrules prompt file

J S

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TypeScript Python FastAPI React Best Practices .cursorrules prompt file

Frontend (TypeScript/React):

Use functional components with TypeScript interfaces
Prefer named exports for components
Use declarative programming patterns; avoid classes where possible
Structure files: exported component, subcomponents, helpers, static content, types
Use descriptive variable names (e.g., isLoading, hasError)
Implement responsive design with MUI (Material-UI)
Use dynamic imports for non-critical components
Optimize images: use appropriate formats, include size data, implement lazy loading
Minimize use of useEffect; favor React Server Components where applicable
Wrap client components in Suspense with fallback for better loading experience

TypeScript Usage:

Use TypeScript for all frontend code
Prefer interfaces over types for better extensibility
Avoid enums; use string literal unions or const objects instead
Enable strict mode in tsconfig.json

Naming Conventions:

Use PascalCase for component files (e.g., SubscriptionList.tsx)
Use camelCase for non-component files (e.g., urlUtils.ts)
Use lowercase with dashes for directories (e.g., components/add-subscription)

Syntax and Formatting:

Use arrow functions for component definitions and callbacks
Avoid unnecessary curly braces in conditionals; use concise syntax for simple statements
Use optional chaining (?.) and nullish coalescing (??) operators
Prefer template literals over string concatenation

Error Handling and Validation:

Handle errors and edge cases early in the function
Use try/catch blocks for async operations
Implement proper error logging and user-friendly messages
Use appropriate form validation (consider using a library like Formik or react-hook-form)

State Management:

Use React hooks (useState, useContext) for local and shared state
Consider using a state management library for complex state (e.g., Redux, Recoil)

Backend (Python):

Use Python 3.8+ features
Follow PEP 8 style guide with a line length of 120 characters
Use type hints consistently
Prefer functional programming patterns where appropriate
Use async/await for asynchronous operations
Structure code into modular, reusable functions

Python Specifics:

Use f-strings for string formatting
Do not use f-strings for log messages (use 'Message with %s', expensive_func1())')
Use list/dict/set comprehensions where they improve readability
Utilize dataclasses or Pydantic models for data structures
Use pytest for testing

Naming Conventions:

Use snake_case for function and variable names
Use PascalCase for class names
Use UPPER_CASE for constants

Error Handling:

Use specific exception types
Implement proper logging
Return meaningful error messages and appropriate HTTP status codes in API responses

API Design:

Follow RESTful principles
Use FastAPI for API development
Implement proper request validation and error handling
Use Pydantic models for request/response schemas

Database:

Use SQLModel for ORM (https://sqlmodel.tiangolo.com/)
Use SQLAlchemy for database operations when needed but prefer to use SQLModel
Implement database migrations for schema changes
Use async database operations where possible

General:

Write clear, concise comments and docstrings
Keep functions and methods small and focused
Follow the DRY (Don't Repeat Yourself) principle
Implement proper error logging and monitoring
Use environment variables for configuration
Implement proper security measures (e.g., input validation, CORS, authentication)

Version Control:

Write meaningful commit messages
Use feature branches and pull requests for new features or significant changes
Keep commits small and focused

Testing:

Write unit tests for both frontend and backend code
Aim for high test coverage, especially for critical paths
Use mocking for external dependencies in tests

Performance:

Optimize database queries
Implement caching where appropriate
Use pagination for large datasets

Accessibility:

Ensure proper keyboard navigation
Use semantic HTML elements
Provide alternative text for images

Documentation:

Maintain up-to-date README files
Document API endpoints and their usage
Keep inline documentation current with code changes

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TypeScript Python FastAPI React Best Practices .cursorrules prompt file

Bryan Thode

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Tailwind React Firebase .cursorrules prompt file

Here are some best practices and rules to follow for creating a high-quality, mobile-first web app with excellent UI/UX using Tailwind, React, and Firebase:

Mobile-First Design:

Always design and implement for mobile screens first, then scale up to larger screens.
Use Tailwind's responsive prefixes (sm:, md:, lg:, xl:) to adjust layouts for different screen sizes.

Consistent Design System:

Create a design system with consistent colors, typography, spacing, and component styles.
Utilize Tailwind's configuration file (tailwind.config.js) to define your custom design tokens.

Performance Optimization:

Use React.lazy() and Suspense for code-splitting and lazy-loading components.
Implement virtualization for long lists using libraries like react-window.
Optimize images and use next/image for automatic image optimization in Next.js.

Responsive Typography:

Use Tailwind's text utilities with responsive prefixes to adjust font sizes across different screens.
Consider using a fluid typography system for seamless scaling.

Accessibility:

Ensure proper color contrast ratios using Tailwind's text-* and bg-* classes.
Use semantic HTML elements and ARIA attributes where necessary.
Implement keyboard navigation support.

Touch-Friendly UI:

Make interactive elements (buttons, links) at least 44x44 pixels for easy tapping.
Implement touch gestures for common actions (swipe, pinch-to-zoom) where appropriate.

USE THE IMAGES IN THE MOCKUPS FOLDER AS EXAMPLE OF HOW TO STYLE THE APP AND CREATE THE LAYOUT

WHEN CREATINGA FILE DON'T CONFLICT IT WITH .TSX AND .JSX FILES

Firebase Best Practices:

Implement proper security rules in Firebase.
Use Firebase SDK's offline persistence for better performance and offline support.
Optimize queries to minimize read/write operations.

Error Handling and Feedback:

Implement proper error boundaries in React.
Provide clear feedback for user actions (loading states, success/error messages).

Animation and Transitions:

Use subtle animations to enhance UX (e.g., page transitions, micro-interactions).
Utilize Tailwind's transition utilities or consider libraries like Framer Motion.

Form Handling:

Use libraries like Formik or react-hook-form for efficient form management.
Implement proper form validation with clear error messages.

Code Organization:

Follow a consistent folder structure (e.g., components, hooks, pages, services).
Use custom hooks to encapsulate and reuse logic.

Native-like Features:

Implement pull-to-refresh for content updates.
Use smooth scrolling and momentum scrolling.
Consider using libraries like react-spring for physics-based animations.

Here’s a concise prompt for a language model to help you with the logic for creating AI-powered medication insights in your app:
Prompt:
Design a feature for a pill management app that tracks user interactions with medications (Take/Skip) and generates monthly adherence reports.
The app should:
User Interface: Display pills for "Morning," "Afternoon," and "Night" with buttons for "Take" and "Skip." Show a confirmation modal for user actions.
Data Collection: Log user interactions (pill ID, action, timestamp, notes) in a database.
Monthly Report: Aggregate data to calculate total pills scheduled vs. taken, adherence percentage, and trends (e.g., frequently skipped pills).
AI Insights: Use basic statistical analysis to generate personalized suggestions based on user feedback (e.g., side effects, missed doses).
Dashboard: Create a section for users to view their monthly reports, including adherence percentage, trends, and AI-generated suggestions.
This prompt provides a clear and structured request for assistance in developing the feature, focusing on key components and functionality.

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