huangjia2019

huangjia2019 / sdd-in-action

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规范驱动开发实战手册 · Claude Code / OpenCode 双路 · 配套 ai-knowledge-base

18
5
100% credibility
Found Apr 18, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Educational repository with weekly articles, templates, and example code demonstrating Spec-Driven Development practices using AI-assisted tools for reliable project building.

How It Works

1
📖 Discover SDD Guide

You stumble upon a friendly four-week guide that teaches smarter ways to build projects using clear rules and AI helpers.

2
🧑‍🏫 Start Week 1 Lessons

You read simple articles answering common questions and add easy question-asking tools to your AI chat buddy.

3
💡 Unlock Planning Magic

Your AI now turns big ideas into step-by-step plans on its own, making everything feel organized and exciting.

4
🤝 Week 2 and 3: Team Up Agents

You learn to guide multiple AI helpers working together like a team, handling tasks reliably day after day.

5
✨ Week 4: Full Super Setup

You bring it all together to create a daily news collector that sorts and summarizes the best AI projects automatically.

6
🚀 Launch Your Digest

You set it up to run every day, sending neat email summaries of hot AI trends straight to your inbox.

📧 Daily Wins Delivered

Now you wake up to a curated list of inspiring AI projects, feeling like you have a personal news scout working for you.

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AI-Generated Review

What is sdd-in-action?

This Python repo is a hands-on handbook for Spec-Driven Development (SDD), walking you through four weeks of building structured AI agent workflows with Claude Code CLI and desktop tools. It delivers articles on SDD best practices, quick installs for free claude code skills like grill-me and prd-to-plan via npx, plus ready-to-run examples for pipelines that collect, analyze, and digest GitHub trends into daily email summaries using ai-knowledge-base. Developers get spec templates, GitHub Actions for daily runs, and Docker setups to deploy without hassle.

Why is it gaining traction?

It stands out by bundling claude code install commands for CLI and desktop (check claude code pricing for API costs), seamless claude github integration via actions and plugins, skipping vague theory for copy-paste skills that trigger on natural prompts. The weekly progression from basic grilling to full Superpowers plugins hooks devs tired of ad-hoc AI prompting, delivering working claude github copilot-like flows fast. No claude github connector not working headaches—it's all MIT-licensed and OpenSpec-backed.

Who should use this?

AI workflow builders crafting daily digests or agent pipelines in Python. Claude Code users (CLI or desktop) wanting claude code skills and github mcp for structured specs. Solo devs or small teams adopting SDD with OpenSpec and BMAD for claude github app automation.

Verdict

Grab it for learning SDD if you're deep into Claude tools—docs are solid, examples deploy via Docker and GitHub Actions. But with 18 stars and 1.0% credibility score, it's early-stage; adapt examples heavily before production.

(198 words)

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