AI Coding Agents From Vibe Coding to Agentic Engineering

Master Cursor, Claude Code, MCP, Agent Teams,GSD & AI coding workflows to build real-world software with modern AI agent
What you'll learn

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Understand AI coding agents, context engineering, agentic workflows, and modern AI-assisted software development.
Build real-world software using Cursor, GitHub Copilot, Codex, Antigravity, Claude Code, and other AI coding tools.
Master Claude Code with commands, sessions, Git workflows, MCP, Skills, Plugins, Hooks, Sub-Agents, and Agent Teams.
Build full-stack applications with AI agents using Next.js, FastAPI, Docker, SQLite, APIs, authentication, and AI models.
Use GitHub, MCP, Agent Teams, GSD, and spec-driven development to plan, build, test, and manage complex software projects.
Apply professional AI engineering practices to debug, review, document, secure, and improve AI-generated code.
Run AI coding agents locally, remotely, and in cloud sandboxes while understanding safe and autonomous development workflows.
Develop the skills and mindset needed to move from vibe coding to professional agentic engineering.
Requirements

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Basic programming knowledge is recommended. No prior experience with AI coding agents, Claude Code, Cursor, MCP, or agentic development is required.
A computer capable of running modern development tools and a willingness to experiment with AI-assisted software development.
Description

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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 real projects. 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, specialized AI agents, GSD, spec-driven development, and agent orchestration. By the end, you'll understand how to move beyond basic vibe coding and use AI coding agents as powerful engineering partners.
Whether you're a developer looking to work faster with AI or an engineer preparing for the next generation of software development, this course gives you the practical knowledge and hands-on experience to move fromvibe coding to agentic engineering.
Who this course is for

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Developers who want to learn modern AI-assisted software development and move beyond traditional coding and basic vibe coding.
Software engineers who want hands-on experience with Cursor, Claude Code, Codex, Copilot, MCP, Skills, Agent Teams, and GSD.
Developers interested in building real-world full-stack applications with AI coding agents and modern agentic engineering workflows.
Programmers who want to understand how AI coding agents can be used for planning, coding, debugging, testing, GitHub workflows, and autonomous development.
Learners who want to progress from AI coding fundamentals to advanced multi-agent and spec-driven development.
Homepage

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