This course is a full-stack practical tutorial covering everything from AI underlying principles to AI agent engineering implementation, using a progressive logical loop: first understand the roots (AI development history), then the skeleton (Agent architecture system), and finally the practical playbook (Vibe Coding + SDD, the new-generation engineering model). The course progresses from theory to architecture to practical trends, from far to near, from macro to frontier, helping learners build a complete AI agent cognition system. The course abandons complex mathematical derivations and uses plain language to explain AI's underlying transformation from rules to statistics to large models, allowing even zero-foundation tech enthusiasts to get started quickly.

In the AI agent engineering architecture section, the course deeply analyzes the core formula Agent=LLM+Harness. Through detailed analysis of the Hermes architecture, it helps learners see the essence through phenomena and draw inferences. You will master two core abilities: understanding the internals and architecture of AI agents through Hermes, laying a foundation for building your own AI agent; and drawing inferences through Hermes AI Coding capabilities to understand the principles and configurations of AI agents such as Claude Code, Codex, and Xiaolongxia, laying a foundation for better using AI agents. The course also covers frontier engineering practices such as Vibe Coding and SDD (Specification-Driven Development), exposing you to the most cutting-edge AI engineering practices today.

The latter half of the course focuses on practical implementation, including a full set of verified, directly applicable operating guidelines for Claude Code + DeepSeek, as well as a Java + Spring AI hand-written AI agent Xiaodoubao project. You will learn key skills in practice, including AI Coding architecture design, workflow decomposition, state graph engine application, and Netty asynchronous optimization. The course also specially includes in-depth content such as Spring AI Alibaba AI agent source code analysis and DeepSeek pitfall analysis, helping learners avoid common traps in actual projects. The ultimate goal is to equip learners with full-stack development capabilities to build AI agents from scratch, becoming high-level technical talents in the AI era.

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• 1.AI's Past, Present, and Future
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• 2.AI's Past and Future (Part 2)
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• 3.The Past and Present of Agents
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• 4.The Past and Present of Agents - Harness
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• 5.The Past and Present of AI Agents: Harness Development — Driven by Open AI Codex Internal Experiments
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• 6.The Past and Present of AI Agents: Summary and Analysis by Software Engineering Godfather Martin Fowler (Part 1)
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• 7.The Past and Present of AI Agents: Summary and Analysis by Software Engineering Godfather Martin Fowler (Part 2)
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• 8.The Concept and Analysis of Vibe Coding
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• 9.From Vibe Coding to Agentic Engineering
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• 10.From Vibe Coding to Spec-Driven Development
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• 11.Spec-Driven Development (SDD) In-Depth Analysis: Opportunities, Challenges, and the Future
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• 12.Hermes Agent Learning Path
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• 13.Hermes Architecture Analysis
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• 14.Hermes Agent Quick Start Guide
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• 15.Hermes Configuration System (Part 1)
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• 16.Hermes Configuration System (Part 2)
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• 17.Hermes Configuration System: DeepSeek+OpenSpec+SuperPower
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• 18.Hermes Supports VSCODE ACP Plugin
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• 19.Hermes AI Coding Project - Architecture Overview
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• 20.AI Coding Hands-On Practical Implementation
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• 21.AI Coding Project Development - Architecture Pitfalls and Lessons Learned
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• 22.AI Coding Code Walkthrough Analysis
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• 23.AI Coding Project Development: Spring AI Ecosystem Tech Stack Panoramic Architecture Analysis
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• 24.Refactoring Hermes Code with Claude Code
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• 25.Claude Code+OpenSpec+SuperPower Hands-On Practical Implementation
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• 26.AI Coding Workflow — Methodology Breakdown Panoramic Architecture
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• 27.AI Coding Workflow — SKILL Job Functions Detailed Analysis
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• 28.AI Coding SDD Detailed Process Analysis (Part 1)
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• 29.AI Coding SDD Detailed Process Analysis (Completed)
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• 30.Workflow Demonstration and Issues with V1.0
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• 31.Hands-On Workflow Design from 0 to 1 (Part 1)
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• 32.Hands-On Workflow Design from 0 to 1 (Part 2)
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• 33.Hands-On Workflow Design from 0 to 1 (Part 3)
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• 34.Java+Spring AI Agent Development Analysis (Part 1)
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• 35.Java+Spring AI Agent Development Analysis (Part 2)
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• 36.Spring AI Alibaba Agent Source Code Analysis
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• 37.Spring AI Alibaba DeepSeek Pitfall Analysis and Spring Version Unified Management
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• 38.The Core of an Agent Is the Graph Engine
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• 39.What Is the Relationship Between State Graph and React? How to Implement It?
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• 40.Parallel Multithreaded Concurrent Edges
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• 41.State Graph Q&A (Part 1)
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• 42.State Graph Q&A (Part 2)
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• 43.Tech Stack Netty Asynchronization Overview
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• 44.Netty EventLoop Panoramic Architecture Overview
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• 45.Spring Boot and Netty bridge integration and how to customize the threading model
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• 46.Spring bridging Netty: how Spring hides technical details
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💡 Learning Tip:Content reflects industry practices at time of publication. Please refer to the latest platform rules when learning.