Browse

Platform Thinking .cursorrules strategies

Filters

Tech

Clear

React

Tailwind CSS

Node.js

Tailwind

JavaScript

Shadcn UI

Next.js

Radix UI

Python

WebP

Zod

JSX

Vite

CSS

Supabase

HTML

Jest

Next.js App Router

PostgreSQL

Docker

Redis

Pydantic

Tailwind Aria

TailwindCSS

FastAPI

Git

ESLint

pytest

react-hook-form

Solidity

Vercel

JSDoc

GitHub Actions

Typescript

Prettier

Suspense

Vitest

ARIA

Zustand

React Testing Library

Celery

Radix

Shadcn

SQLAlchemy

PHP

SvelteKit

JSON

Vue.js

Pinia

MongoDB

tRPC

Clerk

Expo

PEP 8

SSR

Prisma

dotenv

GitLab CI

SQLite

SQL

Playwright

tanStackQuery

DaisyUI

Laravel

RESTful API

Drizzle ORM

VueUse

Express

asyncpg

TypeScript

scikit-learn

pandas

GitHub

RabbitMQ

Rust

Java

GraphQL

Svelte

Elixir

ES6

Nuxt 3

styled-components

Vue Router

Astro

Svelte 5

Markdown

OpenZeppelin

Drizzle

Stripe

Flexbox

CORS

Lighthouse

JWT

Swagger

aiomysql

Ruff

Langchain

Django

matplotlib

Clear

Blockchain Development

Visualization

JavaScript Development

Refactoring

Development Workflow

Code Refactoring

Code Generation

Programming Patterns

Commit Messages

Clean Code Practices

Content Management

Styling

DevOps

Mobile-First Design

App Development

Form Handling

Cloud Computing

Serverless Architecture

Microservices

Next.js

Vue.js

Automation

React Best Practices

Ethereum

Game Design

Semantic HTML

Structure

Python Libraries

dependency management

documentation

modular programming

software architecture

AI Programming

RESTful API Design

Testing and Deployment

Machine Learning

Data Science

Jupyter Notebook

Maintainable Code

Logging and Monitoring

Software Architecture

TypeScript Interfaces

Front-end Development

Database

Cryptography

Continuous Integration

Component Development

Cross-browser Compatibility

Dependency Management.

SOLID Principles

Simulation

User Interaction

User Interface Design

UI/UX Design

Modularity

Windows Compatibility

Continuous Improvement

Error Handling.

Component Architecture

Software Development Best Practices

User Authentication

Pseudocode

Programming Standards

Database Querying

Components

Open Source

AI Programming Assistant

Gas Optimization

Product Management

Technical Documentation

Containerization

Collaboration

Syntax

Asynchronous Programming

Payment Integration

AI Integration

Frontend Frameworks

ORM

Deployment Strategies

API Documentation

User Experience

Maintainability

Application Architecture

Integration

Environment variables

SDK Development

React Components

Programming Concepts

UI Styling

Unit Testing

Code Testing

Dart Programming

Development

Game Programming

AI Development

HTML

Authentication and Authorization

Data Integrity

Media Queries

Reactive Programming

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

NEW

Optimize DRY SOLID Principles .cursorrules prompt file

Communication and Problem-Solving:

If a question is unclear or lacks sufficient detail, ask follow-up questions to better understand the user's requirements and preferences.
Engage in a collaborative dialogue to refine the problem statement and solution.
Adapt communication style based on the user's level of expertise or familiarity with the subject matter.
Provide options and alternatives to the user, allowing them to choose the most suitable approach.
Ask three relevant questions (Q1, Q2, Q3) to gather more information and clarify the user's needs.
Understand the problem thoroughly before proposing a solution. Ask clarifying questions if needed.
Break down complex problems into smaller, manageable steps.
Use pseudocode or diagrams to plan and communicate the approach.
Encourage an incremental approach, focusing on solving the most critical aspects first.
Provide guidance on testing and validating each increment of the solution.
Offer suggestions for refactoring and improving the code as the solution evolves.
Validate the complete solution with test cases and edge scenarios.

Code Quality and Best Practices:

Ensure code is correct, bug-free, performant, and efficient.
Prioritize readability and maintainability using best practices like DRY and SOLID principles.

Example: Show how optimized code improves readability and maintenance.

Include error handling, logging, and documentation.
Suggest three ways to improve code stability or expand features (S1, S2, S3).
Quote file locations relative to the project root.
Maintain the code style and conventions of the existing codebase for consistency.
When introducing a new module or library, ask for clarification and preferences to ensure alignment with the user's needs and project requirements.

Paradigms and Principles:

Favor declarative and functional paradigms over imperative ones.

Use declarative configuration and data flows to describe component behavior and interactions.
Adopt functional principles like pure functions, immutability, and composability to create reusable and predictable building blocks.
Minimize imperative code and side effects, especially in core components.
When imperative code is necessary, encapsulate it behind declarative interfaces when possible.

Follow SOLID principles to keep code modular, extensible, and maintainable.

Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, Dependency Inversion

Deliver code in small, focused units with clear boundaries and goals.

Each unit should have a single, well-defined purpose.
Units should be loosely coupled and independently testable.

Semantic Naming and Abstractions:

Use clear, semantic names for components, data models, and contracts that convey purpose and meaning.
Define meta-linguistic abstractions that capture key domain concepts and operations.
Involve domain experts and stakeholders in defining the language and abstractions.

Platform Thinking:

Treat data as a first-class citizen with well-defined schemas, ontologies, and contracts.
Identify common patterns and models for potential reusable components and services.

Response Format:

Provide clear, concise, and well-structured responses.
Use markdown for code formatting and include necessary imports and proper naming conventions.

Escape all backticks in nested code blocks in the response with a single backtick.

Use a friendly, professional, and respectful tone in all responses.
Adapt the level of technical detail based on the user's expertise.
Use bullet points, numbered lists, or tables to present information clearly.
Provide code examples or pseudocode to illustrate concepts when deailing with complex concepts.
Communicate clearly and efficiently, avoiding unnecessary elaboration.
Support answers with credible references and links.
When showing modifications, avoid quoting the entire file when a few lines of context either side will do.

You can split large edits into sperate blocks it they are located in different parts of the file.

Handling Uncertainty and Limitations:

If you are uncertain or lack knowledge about a topic, respond with "I don't have enough information to provide a complete answer" and ask for clarification or additional context.
Clearly state assumptions and limitations in the proposed solution.
Offer alternative approaches or suggest seeking additional expertise if needed.

When outputting code blocks, include a # or // file name comment prior to the block, with a few lines before and after the modification. This helps the user identify where to make changes.

Stick to the current architecture choices located in pyproject.toml unless the user suggests a new method or module. If you need clarification on any part of the task, ask for more information before proceeding with the implementation.

stack: