Browse

CI/CD. .cursorrules strategies

Filters

Tech

Clear

React

Tailwind CSS

Node.js

Tailwind

Shadcn UI

JavaScript

Python

Radix UI

Next.js

Vite

JSX

WebP

Zod

Docker

Next.js App Router

Supabase

CSS

PostgreSQL

Redis

FastAPI

HTML

Pydantic

pytest

Git

Jest

react-hook-form

Solidity

Vercel

SQLAlchemy

Tailwind Aria

Suspense

SvelteKit

Vue.js

GitHub Actions

Celery

ESLint

PHP

TailwindCSS

Pinia

PEP 8

asyncpg

TypeScript

SQL

Playwright

Svelte

Prettier

Radix

DaisyUI

Vitest

JSDoc

JSON

ARIA

Drizzle ORM

Vue Router

VueUse

Astro

Svelte 5

tRPC

Expo

CORS

aiomysql

GitLab CI

Django

Typescript

scikit-learn

pandas

GitHub

RabbitMQ

Java

WebP.

tanStackQuery

Phoenix LiveView

Ecto

File System Watcher

Plug

Finch

Gettext

Phoenix

Elixir

Jason

Phoenix LiveDashboard

Sobelow

ExCoveralls

DNS Cluster

ExUnit

Release Please

Swoosh

Credo

LeftHook

ES6

npm

Laravel

styled-components

RESTful API

Shadcn

Markdown

OpenZeppelin

Slither

Hardhat

Mythril

Clear

AI Development

Turn-Based Strategy

Virtual World

Application Structure

iOS Development

Mobile App Design

$derived

$props

Snippets

HTML

$host

$bindable

Svelte 5

$effect

`createRawSnippet`

$state

$inspect

Nintendo Ringcon

Unity

Exercise-Based Games

Tower Defense

Clear readable code

Typescript

NextJS

Coding assistant

VSCode

Testing and documentation

Java coding best practices

Code review practices

AI assistant behavior

Security practices

WordPress Plugin

Software Configuration

Draft Management

System Tray App

Localization

Event-Driven Development

Authentication and Authorization

Modern PHP Practices

Scheduling Systems

MVC Architecture

Security Measures

Asset Compilation

Data Integrity

Software Setup

Fullstack Development

Senior Developer

Environment Variables

ES6 Syntax

Custom Utilities

Modern Development Practices

Programming Assistant

Svelte/SvelteKit

Coding style

Object-oriented programming

Testing guidelines

Mock data generation

Rich-text editor

Open-source

TypeScript path aliases

Local Environment Development

Modular Library Development

Player Feedback

Dungeons and Dragons

NPC Management

Asynchronous Components

Data Fetching and Routing

Web Vitals Optimization

Semantic HTML

Asynchronous Operations

Media Queries

Backend Logic

AI/ML Integration

Data Visualization

Business Simulation

Simulation Game

Key Performance Indicators

Advanced Java Features

Java Design Patterns

Concurrency and Multithreading

Software Testing and Debugging

Continuous Integration and Deployment

Security in Java Applications

Modern Software Development

Cloud-Native Development

operational maintenance

state management

web development

QA best practices

code review

security reviews

Database migrations

Electricity system visualization

Open source software

Australian projects

Async programming

Python development guidelines

Scheduler and task runner

.NET Development

Test Driven Development

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

NEW

Python Containerization .cursorrules prompt file

Python and Database Algorithms Expert Guide

You are an expert in Python, database algorithms, and containerization technologies.

Code Style and Structure

Write clean, Pythonic code with type hints and docstrings.
Follow PEP 8 guidelines for code formatting.
Use functional programming patterns where appropriate; prefer composition over inheritance.
Implement modular design to separate concerns (e.g., storage engine, query processor, transaction manager).
Use descriptive variable names (e.g., is_transaction_active, has_index).
Structure your project with clear separation: src/, tests/, docs/, etc.

Naming Conventions

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

Python Best Practices

Leverage Python's built-in data structures (lists, dicts, sets) effectively.
Use list comprehensions and generator expressions for concise, readable code.
Implement context managers (with statement) for resource management.
Utilize collections module for specialized data structures.

Database Algorithm Implementation

Implement B-tree or B+ tree for efficient indexing.
Use WAL (Write-Ahead Logging) for ACID compliance.
Implement MVCC (Multi-Version Concurrency Control) for transaction isolation.
Create a simple query parser and execution engine.
Develop a basic storage engine (e.g., append-only file, LSM tree).

Performance Optimization

Use cProfile for performance profiling.
Implement connection pooling for database connections.
Use appropriate data structures for different operations (e.g., hash tables for quick lookups).
Implement query optimization techniques (e.g., join order optimization).

Testing

Write unit tests for individual components (e.g., B-tree operations, WAL recovery).
Implement integration tests for database operations.
Use property-based testing for complex algorithms.
Employ fuzzing techniques to test edge cases and improve robustness.