AI Coding Agents: From Vibe Coding to Agentic Engineering

About this course

AI coding is evolving rapidly—from simple AI-assisted programming and vibe coding to autonomous agents, multi-agent teams, and spec-driven software development. This course takes you through that entire journey.

You’ll learn how modern AI coding agents actually work, how to engineer context effectively, and how to use AI to plan, build, debug, test, review, and improve real-world software projects.

Starting with the foundations, you’ll explore vibe coding, agentic coding, AI coding workflows, context engineering, LLM selection, and the mindset needed to work effectively with AI. You’ll then get hands-on with modern tools including Cursor, GitHub Copilot, OpenAI Codex, Google Antigravity, Claude Code, and OpenCode.

The course goes deep into Claude Code, covering commands, sessions, Git workflows, MCP servers, Skills, Plugins, Hooks, Sub-Agents, Agent Teams, sandboxing, remote development, and the Claude Agent SDK. You’ll also learn how to connect AI agents with GitHub and build more autonomous development workflows.

You won’t just watch demonstrations. You'll build two complete projects:- TaskPilot: a full-stack Next.js + FastAPI Kanban board where the AI chat sidebar doesn't just talk about your tasks, it edits the board for you.- PactForge: an AI legal-drafting app that fills out NDAs and service agreements through chat, with live preview, PDF export and user accounts.

Plus a zombie survival FPS game built with Cursor in the very first lecture. You’ll create full-stack applications with technologies such as Next.js, FastAPI, Docker, SQLite, APIs, authentication, and AI models, while applying AI engineering practices throughout the development process.

You'll also explore multi-agent development and specialised AI agents, and use GSD, a spec-driven development framework for Claude Code that orchestrates multiple agents, then compare it head-to-head with Claude Code Agent Teams.

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