2 个仓库
Awesome GitHub RepositoriesCodebase Pattern Documentation
Systems for extracting and documenting recurring architectural and coding patterns from existing source code for AI alignment.
Distinct from Knowledge and Documentation Management: Focuses on extracting patterns from code specifically, rather than general knowledge or document management.
Explore 2 awesome GitHub repositories matching development tools & productivity · Codebase Pattern Documentation. Refine with filters or upvote what's useful.
Awesome Codebase Pattern Documentation GitHub Repositories
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- necolas/idiomatic-css
necolas/idiomatic-css
6,656在 GitHub 上查看Idiomatic CSS is a CSS style guide and architecture standard designed to ensure the creation of consistent and maintainable styles. It provides a set of standardized rules and conventions for writing idiomatic CSS code, functioning as both a formatting specification and a general guide for style organization. The project focuses on CSS preprocessor best practices, specifically providing guidelines to manage nesting depth and selector specificity to avoid complex cascades. It further distinguishes itself through structured documentation patterns and component sectioning to improve the long-ter
Defines a structured approach to commenting and sectioning code to explain component purpose and limitations.
- buildermethods/agent-os
buildermethods/agent-os
3,885在 GitHub 上查看Agent-OS is an LLM multi-agent orchestration framework and AI software development lifecycle tool designed to coordinate specialized agents through shared workspaces and structured task lists. It functions as an agentic application bootstrapper and technical specification engine, providing the infrastructure to guide the process from product requirements to automated coding and deployment. The system distinguishes itself through spec-driven development, using detailed technical specifications and layered context injection to ensure generated code aligns with project standards. It employs a ma
Provides capabilities to extract and document patterns from legacy code to ensure AI agents follow established standards.
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