Summary

This repository provides resources for the "Coding With AI" course, focusing on AI-assisted full-stack development. It targets developers learning to integrate AI into workflows for rapid prototyping and production app building, offering practical guidance and project specifications.

How It Works

The core methodology is an AI-driven development workflow, detailed in the README. This involves documenting features, branching, implementing with AI (primarily Claude Code), testing, iterating, and merging. The repository supplies lesson notes, prompts, and feature specifications to guide users through building a complex SaaS application.

Quick Start & Requirements

This repository serves as course material, not a runnable application. To follow along:

• Access lesson notes in course-lessons/.
• Utilize prompts from prompts/.
• Reference feature specifications in context/.
• Explore custom skills in skills/. The primary AI tool discussed is Claude Code, with comparisons to other AI development tools provided in ai-tool-equivilents.md.

Highlighted Details

• Covers the full development lifecycle for a SaaS app (DevStash) using AI, from prototyping to deployment.
• Features detailed curriculum on AI-assisted development, including planning, database integration, authentication, AI features, and deployment.
• Includes custom Claude Code skills and subagents for code scanning and UI review.
• Demonstrates integration of Next.js, PostgreSQL, Prisma, NextAuth, Tailwind CSS, Cloudflare R2, OpenAI, Stripe, and Vercel.
• Provides comparative analysis of AI development tools (Claude Code, Cursor, Gemini CLI, Codex CLI).

Maintenance & Community

This repository is companion material for Brad Traversy's "Coding With AI" course. Specific community links or maintenance schedules for this resource repo are not detailed.

Licensing & Compatibility

Licensed under the MIT License, permitting broad use and modification. Commercial use is generally open, subject to standard MIT terms.

Limitations & Caveats

This repository contains only course resources (notes, prompts, specs). It explicitly does not include the source code for the DevStash project, which is in a separate repository.