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Back to thangchung/clean-code-dotnet

Open-source alternatives to Clean Code Dotnet

30 open-source projects similar to thangchung/clean-code-dotnet, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Clean Code Dotnet alternative.

  • ryanmcdermott/clean-code-javascriptالصورة الرمزية لـ ryanmcdermott

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    94,454عرض على GitHub↗

    This project is a collection of engineering guidelines and best practices for writing readable and maintainable JavaScript source code. It serves as a clean code guide and refactoring manual to help developers improve the structure of their codebases. The repository provides a reference for applying SOLID principles to reduce coupling and enable extensions without modifying existing logic. It includes a naming convention standard for using explicit, searchable identifiers and a guide for asynchronous patterns to replace nested callbacks with clearer execution flows. The guidelines cover soft

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    Checkstyle is a Java static analysis tool and linter designed to identify and enforce coding standards and best practices. It functions as a code quality auditor and Javadoc validation tool, checking source code against configurable rulesets to ensure structural and stylistic consistency. The project allows for the creation of custom linting rules by extending a core API to inspect the abstract syntax tree. It further enables specialized validation through the use of XPath expressions to query the syntax tree for specific code patterns and violations. Capability areas include the enforcement

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  • amontalenti/elements-of-python-styleالصورة الرمزية لـ amontalenti

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    This project is a comprehensive Python style guide and technical reference designed to promote the creation of clean, maintainable, and idiomatic code. It provides a set of opinionated guidelines and architectural patterns focusing on functional and declarative programming to reduce complexity and improve overall code quality. The guide establishes specific standards for naming conventions, module organization, and project layout. It emphasizes reducing object coupling by favoring modules and functions over deep class hierarchies and offers technical standards for writing docstrings and marku

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    This project provides a collection of coding standard specifications, style guides, and configuration assets used to define automated rules for static code analysis in Ruby. It serves as a centralized set of RuboCop configurations and static analysis rules to ensure consistent syntax and idiomatic usage across a codebase. The project establishes a comprehensive Ruby style guide that defines naming conventions, indentation, and structural requirements. It utilizes a pluggable linting engine to enforce these standards through a defined set of patterns and constraints. The capability surface co

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    Awesome Copilot is a comprehensive framework for autonomous software development, providing the infrastructure to orchestrate multi-agent teams and automate complex coding workflows. It functions as a centralized platform for managing AI-driven development, enabling developers to deploy specialized agents that interact with local files, terminal commands, and external APIs to execute end-to-end software delivery tasks. The project distinguishes itself through its focus on governance and extensibility, offering a suite of security controls, policy-based execution guardrails, and audit trails t

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    This project is a community-driven Ruby coding style guide and static analysis standard. It provides a collection of agreed-upon rules for syntax, naming conventions, and structural guidelines to ensure uniform code appearance and maintainability across Ruby projects. The project serves as both a human-readable documentation resource for developers and a machine-readable RuboCop configuration specification. This allows natural language style guidelines to be mapped directly to automated linting rules. The system covers Ruby code standardization, style enforcement, and project governance thro

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