掌握Claude Code与MCP协议，构建多智能体集群与生产级SaaS应用，彻底告别AI幻觉，实现高效人机协同开发。
原始标题：AI Coder Bootcamp: Claude Code, MCP & Multi-Agent Swarms
本课程是一门面向零基础创业者到资深架构师的前沿AI工程化实战课，核心旨在使用户从“依赖AI自动补全”的低效模式（Vibe Coding），跃升为“操控自主AI集群”的系统化工程模式（Vibe Engineering）。
课程将通过构建AI数字分身、全栈看板、SaaS法律生成器及实时金融工作站四大生产级项目，带你深度掌握Claude Code CLI、MCP上下文协议及Gastown多智能体编排框架；你将学会通过编写严苛的规范文件（agents.md）彻底消灭AI幻觉，并搭建起一套让AI自主“读题、写码、测试、提PR”的自动化CI/CD闭环，最终实现人类掌握绝对控制权、AI承担高强度开发的高效人机协同架构。
Published 7/2026
Created by TechLynk Selenium | DevOps | GenAI | Cloud
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 7 Lectures ( 1h 41m ) | Size: 1.2 GB
Stop vibe coding. Engineer production-grade SaaS and multi-agent swarms using Claude Code, Copilot, Cursor, and Gastown.
What you’ll learn
⚡ Build 4 Production-Ready Apps: Ship an AI Digital Twin, a full-stack Kanban board, a SaaS Legal Doc generator, and a live-market Systematic Workstation.
⚡ Master Model Context Protocol: Connect Claude Code CLI to live databases, web browsers, and third-party APIs for perfect project context.
⚡ Vibe Coding to Vibe Engineering: Move beyond basic IDE autocomplete to drive autonomous, terminal-based systematic code generation.
⚡ Automate Your CI/CD Pipeline: Program Claude Code to read tickets, write clean features, run test suites, and open GitHub PRs autonomously.
⚡ Orchestrate Multi-Agent Swarms: Coordinate multiple AI agents working in parallel using advanced layouts like Gastown, GSD, and Agent Teams.
⚡ Eliminate AI Hallucinations: Enforce strict development standards using rigorous agents md and claude md files to eliminate LLM slop.
⚡ Deploy Secure Cloud Sandboxes: Run autonomous agent iteration loops (Ralph Loops) safely within remote execution environments via Sprites.
⚡ Run Local Open-Source Agents: Maintain low-cost, secure workflows by integrating local models like GLM 4.7 via OpenCode, Amp Code, and Ollama.
⚡ Human-in-the-Loop Architecture: Architect systems where AI handles heavy data analysis while the human operator maintains absolute execution control.
⚡ Scale to Massive Codebases: Implement professional indexing and context window tactics to guide agents through complex legacy repositories.
Requirements
❗ Zero Prior Coding Experience Needed: You do not need to be a software engineer to take this bootcamp. Whether you are a non-technical founder building an MVP or a senior architect scaling your output, this course teaches you how to direct the AI, not how to write syntax.
❗ A Premium AI Subscription: You will need an active subscription to Anthropic API Console account. (Note: The free Claude ai tier does not include access to the Claude Code CLI).
❗ An Architect’s Mindset: You must be ready to transition from passively asking chatbots for code snippets to actively orchestrating autonomous agents and managing system architecture.
❗ Basic Computer Hardware: Any standard machine running macOS 13.0+, Windows 10+, or Ubuntu 20.04+. You only need a minimum of 4GB RAM (8GB recommended). You do not need an expensive GPU; all AI processing happens in the cloud.
Description
Welcome to the absolute bleeding edge of software architecture. In 2026, we have crossed the inflection point where AI coding agents can work fast, independently, and reliably to build entire platforms. This bootcamp equips builders of all backgrounds to deliver massive software projects and highly complex data workstations at an extraordinary pace.
Engineer Production-Grade AI Systems And Multi-Agent Swarms From Scratch
✨Architect complete SaaS products and commercial MVPs without getting bogged down in theory.
✨Orchestrate multiple AI agents working in parallel using Gastown and Spec-Driven Design (GSD).
✨Deploy secure, autonomous continuous iteration pipelines (Ralph Loops) in the cloud.
✨Build a live-market systematic trading dashboard handling real-time financial data.
The Shift to Agentic Engineering The software engineering landscape has fundamentally shifted. The days of simply asking an LLM for a code snippet and manually pasting it into an IDE are over. Today, the most effective developers operate as Lead Architects, commanding fleets of autonomous coding agents like Claude Code to navigate massive codebases, integrate complex APIs via the Model Context Protocol (MCP), and open pull requests autonomously. Whether you are a non-technical visionary building a commercial MVP or a senior engineer looking to scale your daily output, mastering agentic workflows is the ultimate multiplier.
How We Build We bypass the generic theory and dive straight into high-win-rate, production-grade outputs. In this three-phase masterclass, we will transition you from basic “Vibe Coding” into rigorous “Vibe Engineering.”
First, we establish your foundation by mastering single-agent workflows across IDEs like Cursor and tools like GitHub Copilot. From there, we move out of the IDE and directly into the terminal to unlock the raw power of the Claude Code CLI. You will learn to connect MCP servers to live databases, automate your CI/CD pipelines directly from Jira tickets, and force strict adherence to your architectural standards using rigorous agents md files to eliminate AI hallucination and “slop.”
Finally, we scale up to controlled chaos. You will orchestrate parallel multi-agent swarms, deploying remote cloud sandboxes to run continuous development loops safely. To prove your mastery, our final capstone project is a live-market Systematic Workstation. We will architect this system with a strict “Human Touch”—ensuring the AI handles the massive analytical heavy lifting, while you, the human operator, maintain absolute execution control over the market analysis.
By the end of this journey, you will have the skills, the portfolio, and the exact architectural blueprint to build anything you can imagine.
Who this course is for
⭐ Non-Technical Founders & Visionaries
⭐ Senior Developers & System Architects
⭐ Project Managers & Tech Leads
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