#Spec-driven-development
Showing 54 of 54 repositories tagged #spec-driven-development, ranked by stars
A cloud-native Go microservices framework with cli tool for productivity.
Engineering decisions engine that know when they're stale. Frame, compare, decide — with evidence decay and parity enforcement. For Claude Code, Cursor, Gemini CLI, Codex and more.
SPEC-First Agentic Development Kit for Claude Code — 24 AI agents + 52 skills with TDD/DDD quality gates, 16-language projects, 4-language docs. Go CLI, zero deps.
Multi-agent autonomous SDLC framework. Spec to deployed app. PRD, GitHub issue, OpenAPI/JSON/YAML, or one-line brief. 5 AI providers, 11 quality gates.
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.
AI Agent Team scaffold for Claude Code — 19 roles collaborate through stage gates, enforced by mandatory skills + blocking hooks + DoD checklists. Spec-driven change folders, SIT-audited code reviews, 4-layer hook defense, multi-LLM (DeepSeek/Doubao/Qwen/MiniMax). Tracks: Web · WeChat Mini Program · Apple native (macOS/iOS). 中文/EN README.
Spec Driven Development 🤠 Write codebase-aware specs for AI coding agents so they don't derail.
DevoxxGenie is a plugin for IntelliJ IDEA that uses local LLM's (Ollama, LMStudio, GPT4All, Jan and Llama.cpp) and Cloud based LLMs to help review, test, explain your project code. Latest version now also supports Spec Driven Development with CLI Runners.
Spec-driven AI workflow plugin for Claude Code, OpenAI Codex, and Factory Droid. Zero-dep task tracking, worker subagents, Ralph autonomous mode, cross-model reviews.
Spec-driven, agentic workflow framework for AI coding agents. Turn a request into a verifiable goal loop — plan, act, verify — with durable specs and evidence in your repo. Works with Claude Code, Codex, Gemini, OpenCode, and plain CLI.
Awesome list of AI-Driven Development.
Spec-driven development with smart compaction. Claude Code plugin combining Ralph Wiggum loop with structured specification workflow.
ATLAS: a senior-engineer layer for Claude Code. Explore with wireframes & prototypes, clarify the essentials, capture it in HTML spec doc then let Claude Code's native plan/goal/workflow loop build. Fewer tokens, less ceremony, faster to what people pictured. KISS/YAGNI/DRY, context decides. No overengineering. Clean architecture that works.
Lightweight AI Agent Harness for agentic coding: let strong models explore while humans steer with minimal specs, checkpoints, approval, validation, and reverse sync.
Antidote for fluffy specs, a toolkit for fact-driven development with AI agents
SDD toolkit for Cursor IDE — /specify, /plan, /tasks to turn ideas into specs, plans, and actionable tasks.
Self-Learning Multi-agent orchestration framework for spec-driven development and automated verification. With smarter tool calling and leaner context.
This is my collection of helpful priming prompts for ChatGPT when discussing various angles of software development and architecture.
A Claude skill that keeps your AI coding tools from contradicting each other. Generates requirements.md, design.md, and tasks.md before any code is written — then creates matching config files for Claude Code, Cursor, Copilot, Windsurf, and Aider.
CLI for streamlined spec-driven development
AI Agents that land on their feet
Context Engineering: Build Consistent, Accurate, Predictable AI Systems
Turn product ideas into production launches with Spec-Driven Development. Repeatable Claude Code workflows with quality gates, token budgets, and auditable artifacts.
Lightweight markdown-based workflow for collaborating with AI coding assistants using spec-driven development methodology
Replace chaotic AI code generation with a disciplined, spec-driven workflow. SDD Pilot enforces structured development phases and quality gates, leveraging AI agents to conduct online research for best practices and plan your architecture before a single line of code is written.
Coding agent orchestration for engineering teams — shipped as a spec plus a working reference implementation.
Linked-Intent Development - a SDD methodology for agentic coding
GSD Pro — The most powerful AI coding workflow for Claude Code. Free alternative to Cursor Composer, Copilot Workspace, Devin & Bolt. Multi-model routing, rollback/recovery, adaptive context. Fork of 30K★ original. npx get-shit-done-cc
Chat, specs, tasks, and code. An autonomous engineering platform. Full autonomy when you trust it. Full control when you don't.
🤖 Claude Code定制化研发流程系统 - 基于Spec-Driven和Test-Driven的AI智能体团队协作框架。构建AI优先的软件开发新范式，让AI智能体团队替代传统人类开发团队。
Universal, language-agnostic development standards for software projects. Includes coding standards, git workflows, testing guidelines, documentation structure, and AI collaboration rules.
VS Code extension for spec-driven development — manage specs, workflows, and steering docs for AI CLI tools (Claude Code, Gemini CLI, Copilot CLI)
Hook-driven multi-agent CLI — one prompt to specs, code, tests, and a shipped release.
Coordinated Agent Team is a prompt-driven multi-agent system for autonomous software delivery. It defines clear agent roles, a deterministic workflow, strict I/O contracts, and artifact-based coordination.
Comprehensive prompt collection for AI agents implementing Kiro IDE's spec-driven development workflow - from requirements to implementation.
Bring the Conductor spec-driven development methodology to any coding environment as skills.
A light-weight and straightforward system for spec-driven development with Claude Code or OpenAI Codex. Written in Rust 🦀
AI agent that implements your specs, opens PRs, and reviews code overnight. Queue GitHub issues or PRDs, wake up to pull requests.
Spec-first, evidence-gated engineering-procedure enforcement for AI coding agents (Claude Code + Codex). The agent can't edit until it writes a passing spec.
AI made building cheap. It didn't make deciding cheap. Mycelium is a Claude Code harness that makes your agent run discovery and weigh evidence before it writes code. It earns the right to start. Built for software, courses, AI tools, and services.
An atelier for Opencode, Claude Code, and other coding agents: spec-driven workflows, deep thinking, and code quality.
AI dev that actually gets things done
72 agent skills synthesizing 17 years of software engineering discipline into a prescriptive methodology for solo developers
Spec-driven, multi-agent AI development for Claude Code: from specs to shipping via roundtable collaboration
Spec-driven development for AI agents. Define what to build, let the agent build it right. Claude Code · Cursor · Copilot.
Awesome Vibecoding and Speccoding Resources repo—a living collection of checklists, guides, and practical tools for creators, product managers, and AI builders. Whether you’re vibecoding, spec-driven, or just curious about rapid prototyping in the age of agentic workflows, you’ll find something useful here.
Structured, spec-driven development workflow for AI coding agents.
Spec-Driven Development framework that enables humans and AI agents to build better software by giving them small, local instructions right where the code lives. It increases productivity, reduces implementation errors, and helps keep changes aligned with the project’s intended design.
ReqForge — From requirements to shippable products. Open-source Agent Harness for Claude Code, Cursor & OpenCode. Spec→Plan→Build, hooks, review. /change-manager for brownfield.
A lightweight, text-based UI wireframing schema optimized for AI coding agents and Spec-Driven Development (SDD).
This repository serves as the comprehensive workspace for Quarter 4 academic endeavors, encompassing assignments, technical documentation, experimental implementations, and applied projects.
Production ready. AI Agent Workflow System for Claude Code
Document-driven development for AI coding assistants. Spec and plan first, then code—no docs, no code.
Specify → Plan → Act → Retain: SPAR-kit is a lightweight workflow that helps AI agents align with your intent, plan clearly, act with less drift, and retain durable project memory.