Agent Engineering Roadmap – a beginner-friendly guide to building AI agents
Teaching approach This roadmap teaches agents like an engineering course, not a tool catalog. Each major topic follows the same pattern: Start with the problem: what breaks if you only use a chatbot? Build the intuition: what is the simplest mental model?
- ▪Teaching approach This roadmap teaches agents like an engineering course, not a tool catalog.
- ▪Each major topic follows the same pattern: Start with the problem: what breaks if you only use a chatbot?
- ▪Build the intuition: what is the simplest mental model?
Opening excerpt (first ~120 words) tap to expand
Agent Engineering Roadmap A hands-on roadmap for building production-ready AI Agents, MCP Servers, Memory Systems, Multi-Agent Workflows, and Agent Colonies. 繁體中文 · Website · Course · Roadmap · Examples · Showcases · Benchmarks · Labs · Teaching · Templates · Architecture · Healthcare · Finance flowchart LR User((User)) --> Agent[AI Agent] Agent --> Tools[Tool Use] Tools --> MCP[MCP Layer] MCP --> Memory[Memory System] Memory --> Workflow[Agent Workflow] Workflow --> MultiAgent[Multi-Agent Team] MultiAgent --> Colony[Agent Colony] Colony --> Production[Production AI App] Loading Why this roadmap exists Most AI tutorials stop at prompts, RAG, or simple tool calling.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.