Browse

LSM tree .cursorrules prompt files

An LSM tree is a data structure that optimizes write performance on disk-based databases by batching writes and merging data in the background.

Filters

All

React

Tailwind CSS

Filters

Tech

Clear

MacOS

Vuejs

shadcn/u

ESModule

Anthropic APIs

NodeJS

Plain JS

Remix

Yoga

Pulumi

PandaCSS

VueMacroes

@testing-library/vue

Tiptap

@faker-js/faker

@tool-belt/type-predicates

Reactivity transform

vitest

llama-index

langchain

WebPageTest

11ty

eleventy

Tremor

LangChain

Local Storage

React Context API

Mockito

Java Platform Module System (JPMS)

DeepLearning4J

Terraform

Spring Framework

Java Cryptography Architecture (JCA)

Eureka Server

Hibernate

Ansible

Hadoop

Spring MVC

Spark

JBehave

Cucumber

Spring Cloud Gateway

JUnit 5

Logback

Spring Boot Actuator

Java Persistence API (JPA)

Franklin

Airbnb’s JavaScript Style Guide.

Helix

Adobe Edge Delivery Services

uvicorn

SqlAlchemy 2.0

arq

Alembic

Postgres v3.12

LINQ

Moq

MSTest

ASP.NET Core

AutoMapper

Entity Framework Core

IMemoryCache

Fluent Validation

NUnit

NSubstitute

Dependency Injection

Swashbuckle.AspNetCore

xUnit

RESTful

Poetry

with statements

bcrypt

ReDoc

Python's logging module

async support

dependency injection

Factory Boy

list comprehensions

Swagger UI

requirements.txt

FastAPI's TestClient

Dockerfiles

docstrings

parse_obj_as

type hints

Bootstrap

decorators

Jinja2

generator expressions

BaseSettings

context managers

Sveltekit 2

CDN

Firebase CLI

Firebase Crashlytics

Firebase Firestore

Xcode

Google Analytics

Firebase Authentication

Firebase Cloud Messaging

Categories

Clear

Dynamic Routing

Reusability

Continuous Integration.

Animation and Transition

Programming Instructions

UI/UX

Component Design

PHP 7.4 Features

PSR-12 Coding Standards

Web Application

Backend Integration

Cellular Automata

Environmental Simulation

Data Synchronization

Shader Programming

Interactive Systems

Grid Systems

Generative User Interfaces

Middleware Integration

AI SDK Integration

Deployment Considerations

React Server Components

Business Process Modeling

BPMN Diagrams

Project Management Tools

Business Analysis

AI Chatbot

Code Implementation Guidelines

Component-Based Development

Accessibility in Web Design

Modern Web Technologies

Documentation structure

Development guidelines

Coding standards

Testing strategy

Package integration

Code structure

Laravel package development

Browser APIs.

Code Architecture

Web Security

Functional Programming.

Error Boundaries

TypeScript Conventions.

Server Actions

DRY (Don't Repeat Yourself)

Best practices

Code improvements

Agile methodologies

Code comments.

UI Frameworks

Portfolio

Software Dependencies

Efficiency Principles

Mobile-Friendly Design

File Management

Design and User Experience

Cross-Platform Commands

Modular Architecture

NestJS Guidelines

Modern Web Development

Business Logic

User Management

Software Development Lifecycle

Software Development Practices

Development Guidelines

Accessbility

Forms and Actions

Svelte Documentation

Extreme Programming

Software Maintenance.

Software Development Principles

Software Engineering Principles

Code Review Guidelines

State Management.

Web Optimization

Data Model Creation

WordPress plugin

readability

coding standards

code optimization

type hinting

Component-Based Architecture

Model Quantization

Web Development Tools.

Code Style Guides

Project Scalability

Component Organization.

Error Handling and Feedback

Firebase Best Practices

AI-powered Features

Native-like Features

Consistent Design System

Touch-Friendly UI

Responsive Typography

Animation and Transitions

Software Design Principles

Python Development

Python Coding Standards

Code Best Practices

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.