Project Rules

学习笔记生成规范

Comprehensive best practices for developing robust, efficient, and maintainable applications using the actix-web framework in Rust. This rule covers coding standards, project structure, performance, security, testing, and common pitfalls.

Comprehensive guide for aiohttp development covering code organization, performance, security, testing, and deployment best practices. Provides actionable guidance for developers to build robust and maintainable aiohttp applications.

This rule file provides best practices, coding standards, and security guidelines for developing, deploying, and maintaining applications using the amazon-ec2 library within the AWS ecosystem. It focuses on infrastructure as code (IaC), resource management, performance, and security considerations for robust and scalable EC2-based solutions.

This rule file provides comprehensive best practices, coding standards, and security guidelines for developing applications using Amazon S3. It aims to ensure secure, performant, and maintainable S3 integrations.

This rule file provides comprehensive best practices for Android SDK development, encompassing code organization, performance, security, testing, and common pitfalls. It aims to guide developers in creating robust, maintainable, and efficient Android applications and libraries.

This rule provides comprehensive guidelines for Angular development, covering coding standards, best practices, performance optimization, security considerations, and testing approaches to ensure maintainable, scalable, and high-performing applications.

This rule file provides comprehensive best practices and coding standards for Ansible projects, covering code organization, common patterns, performance, security, testing, pitfalls, and tooling. It aims to improve maintainability, reusability, and efficiency in Ansible automation.

This rule enforces best practices and coding standards for projects using the Ant Design (antd) UI library within React applications. It covers code organization, performance, security, testing, and common pitfalls to ensure maintainable and efficient applications.

This rule provides best practices and coding standards for developing with the AnyIO library, focusing on structured concurrency, task management, and proper use of synchronization primitives to create robust, cross-backend asynchronous applications.

This rule provides comprehensive best practices for using Apollo Client in your projects, covering code organization, performance, security, testing, and common pitfalls. It aims to guide developers in building robust and maintainable GraphQL-powered applications.

This rule provides comprehensive best practices and coding standards for developing with Apollo GraphQL. It covers schema design, security, performance, testing, and deployment.

This rule file provides best practices and coding standards for ASP.NET Core development, covering various aspects from code organization to security and performance optimization.

Comprehensive best practices and coding standards for Astro projects, including code organization, performance considerations, security, and testing.

This rule provides comprehensive guidelines and best practices for utilizing the asyncio library in Python, covering code organization, performance, security, testing, and common pitfalls.

This rule provides comprehensive guidance for Auth0 library usage, covering code organization, security, performance, testing, and common pitfalls. Adhering to these guidelines ensures secure, efficient, and maintainable Auth0 integrations.

Provides coding standards, best practices, and guidance specific to the AutoGen library, covering aspects from code structure to security and performance.

This rule provides best practices and coding standards for aws-amplify projects, covering code organization, common patterns, performance, security, testing, pitfalls, and tooling. It aims to guide developers in building robust, scalable, and maintainable aws-amplify applications.

This rule provides comprehensive guidance on best practices for developing and managing AWS resources using the AWS CLI, covering code organization, security, performance, and testing.

This rule provides best practices and coding standards for developing applications using AWS DynamoDB. It covers aspects like schema design, performance optimization, security, and testing.

This rule covers best practices for developing, deploying, and maintaining applications using AWS Elastic Container Service (ECS). It includes guidance on code organization, performance, security, testing, and common pitfalls.

Comprehensive guide for AWS Lambda development, covering best practices for code organization, performance, security, testing, and common pitfalls. Focuses on building robust, scalable, and secure serverless applications using AWS Lambda.

This rule provides best practices and coding standards for developing applications that interact with AWS RDS. It covers code organization, security, performance, testing, and common pitfalls.

Comprehensive rules and best practices for AWS development using Terraform, covering code organization, security, performance, and testing. Adherence to these guidelines ensures maintainable, secure, and efficient infrastructure code.

This rule provides comprehensive guidelines for using Axios effectively, covering best practices, security considerations, and performance optimization. It aims to improve code quality, maintainability, and overall application resilience when working with Axios.

Comprehensive guidelines for Azure Pipelines, covering code structure, security, performance, testing, and deployment. Provides actionable advice for developers working with Azure Pipelines YAML definitions to enhance code quality and CI/CD processes.

This rule provides comprehensive best practices for developing Azure applications, covering code organization, security, performance, testing, and common pitfalls. It aims to improve code quality, security posture, and overall efficiency when working with the Azure ecosystem.

This rule enforces best practices and coding standards for Bash scripting to improve code quality, maintainability, and security. It covers naming conventions, formatting, error handling, security, and performance considerations.

This rule file outlines best practices for using the beautifulsoup4 library in Python, covering code organization, performance, security, testing, and common pitfalls.

This rule file provides comprehensive best practices for writing maintainable and effective Behave BDD tests, including code organization, common patterns, performance considerations, and security.