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Topic: software-architecture

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GanyuanRan/
Aegis
79/wk

Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.

90240Python✓ Reviewed
study8677/
awesome-architecture
72/wk

🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, coding Agents, and production trade-offs.

2.0k225Vuenew✓ Reviewed
tractorjuice/
arc-kit
11/wk

The Enterprise Architecture Governance Harness — strategy, architecture, delivery, and assurance using AI coding assistants

2.1k263JavaScript✓ Reviewed
zhu1090093659/
spec_driven_develop

Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discuss, and adaptive control for Claude Code, Codex, Cursor, and other Markdown-capable agents.

95898Shell
nWave-ai/
nWave

AI agents that guide you from idea to working code, with you in control at every step.

58859Python
levnikolaevich/
claude-code-skills

18 standalone skills for Claude Code and Codex: review, audit, optimization, testing, product discovery, and safe repository publishing.

52874HTML
Cranot/
roam-code

Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 284 commands, 244 MCP tools, change-safety gates, audit evidence, zero API keys.

50350Python
vladikk/
modularity

Claude Code plugin for designing modular systems from functional requirements and reviewing existing codebases for modularity problems with actionable improvement recommendations. Based on the Balanced Coupling model.

50232HTML
jturntdev/
krypton

Goal-based planning and proof gate for AI coding agents

1241Shellnew
study8677/
architecture-copilot

🧭 给 Claude Code / Cursor / Codex 用的『架构副驾』skill —— 开新项目时用持续深度提问引导你在写代码前想清楚架构(产出架构图 / ADR / 演进路线)。知识源自 awesome-architecture。中英双语。

617new
danielmeppiel/
genesis

Markdown that steers an LLM is code. Genesis is the architectural layer for designing multi-agent, multi-skill systems -- with named patterns, contracts, and substrate portability, before you write them.

609Python