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All materials needed to follow along with the Spec-Driven Development with Coding Agents course, built in partnership with JetBrains

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Found Apr 16, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Companion code snapshots for DeepLearning.AI's Spec-Driven Development course, guiding learners through building an interactive web app called AgentClinic for managing fictional AI agent healthcare.

How It Works

1
📚 Discover the course

You find the DeepLearning.AI course on Spec-Driven Development and get excited to learn how to build apps using clear plans and AI helpers.

2
🗂️ Grab lesson files

Download the repository and pick a lesson folder to start fresh, like the basic setup or a midway point.

3
🏠 Set up your workspace

Copy the lesson folder to a new spot on your computer and prepare it so everything is ready to go.

4
🚀 Launch the starter site

Turn on the basic website and open it in your web browser to see the AgentClinic home page welcoming AI agents.

5
💡 Build features with plans

Watch the lesson video and use the detailed spec guides to add pages for agents, their ailments, bookings, and a dashboard.

6
✅ Test and add more

Check that new parts work, like booking appointments or viewing feedback, then move to the next lesson.

🎉 Celebrate your clinic

You now have a complete, fun website to manage AI agents' health, therapies, and staff dashboard all working smoothly.

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AI-Generated Review

What is sc-spec-driven-development-files?

This repo delivers snapshot code folders for DeepLearning.AI's Spec-Driven Development with Coding Agents course, partnered with JetBrains. Each TypeScript-based Hono app snapshot lets you start AgentClinic—a full-stack site for managing AI agents, their ailments, therapies, appointments, dashboard stats, and feedback—at any lesson without prior setup. Copy a folder like Lesson_10, run npm install, and follow videos to build features spec-first using AI agents, complete with SQLite data, forms, and routing.

Why is it gaining traction?

It stands out by demoing a repeatable workflow for AI-assisted coding: write specs, validate with agents, iterate via snapshots—far beyond generic starters. Developers hook on reusable agent skills like auto-changelogs from git, plus responsive UIs with Pico CSS and middleware logging. Ties into hot AI dev trends, making spec-driven projects feel agent-ready out of the box.

Who should use this?

Full-stack devs experimenting with Claude Code or similar agents for structured builds. Solo makers prototyping CRUD apps like agent directories or booking systems. Teams onboarding to spec-driven workflows without from-scratch setup.

Verdict

Grab it if following the course—snapshots and skills accelerate hands-on learning despite 13 stars and 1.0% credibility score. Skip for production; it's maturing educational materials, not battle-tested lib, but docs guide jumps perfectly.

(178 words)

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