Coding With AI - Planning To Production

Over the past few years, the way we build software has changed. We went from searching docs and stitching together snippets to collaborating with AI for planning, scaffolding, refactoring, and debugging. That speed is incredible, but without a process, it can also create brittle code and confusing architectures. My goal for this course is to teach you a repeatable AI-assisted workflow for building real projects: how to scope features, write better prompts, provide useful context, review AI output, and ship with confidence. You’ll apply it by building DevStash—a knowledge hub for snippets, prompts, commands, notes, files, images, and links—using Next.js App Router with TypeScript, modern data patterns, and deployment best practices. We'll also cover testing and code review with AI, plus the core SaaS building blocks like auth, database workflows, file storage, and payments. In addition, you'll build DevStash end-to-end with search, organization, and AI features—while keeping the codebase clean, maintainable, and production-ready. What You Will Learn Summarized: A repeatable AI-assisted workflow — from feature planning and context setup to implementation, testing, and deployment How to write effective prompts that produce consistent, high-quality code instead of random trial and error Structure project context files and specifications so AI understands your codebase and follows your standards Build custom skills, subagents, and MCP server integrations to automate repetitive development tasks Review, test, and audit AI-generated code so you ship with confidence, not just hope Build DevStash end-to-end — a full-stack SaaS app with auth, database workflows, file storage, search, payments, and AI features Modern full-stack patterns with Next.js App Router, TypeScript, Prisma, Tailwind CSS v4, and server actions Production deployment, environment management, and migration workflows