Udemy – Coding With AI – Planning To Production 2026-4

Updated August 10, 2026 10.15 GB

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Descriptions

Coding With AI – Planning To Production, This course teaches a repeatable AI-assisted workflow for building real projects, moving from planning and scaffolding to refactoring and debugging. You will learn to scope features, write better prompts, provide useful context, review AI output, and ship with confidence. The core of the course involves building DevStash—a full-stack SaaS knowledge hub for snippets, prompts, and more—using Next.js App Router, TypeScript, Prisma, and Tailwind CSS. This project covers essential SaaS building blocks like auth, database workflows, file storage, and payments, along with modern data patterns and deployment best practices.

You will also master testing and code review with AI, and learn to structure project context files so AI tools produce consistent, high-quality code. The curriculum includes building custom skills, subagents, and MCP server integrations to automate development tasks. By the end, you’ll have built DevStash from the ground up, complete with search, organization, and AI features like auto-tagging and code explanation, ensuring the codebase is clean, maintainable, and production-ready.

What you’ll learn

Master AI development workflows from project planning to production deployment
Build a full-stack SaaS application using Next.js, TypeScript, Prisma, and Tailwind CSS with AI assistance
Build custom skills, subagents, and MCP server integrations to automate your development process
Write effective AI prompts for prototyping, feature implementation, debugging, and code review
Structure project context files and specifications so AI tools produce consistent, high-quality code
Implement AI-powered features like auto-tagging, code explanation, and prompt optimization using OpenAI
Use Claude Code effectively with plan mode, context files, slash commands, and VS Code integration