Agentic Research
Developers / Engineers

Developer Track

How do I build an agent and ship it

From your first LLM API call to building your own multi-agent framework and evaluation harness. Code, architecture diagrams, and numbers we measured ourselves.

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67lessons
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Est. hours
54hours
Stages
4
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After this stage you can:You know the vocabulary, what it can do, and have run it once

  1. 01
    What Is an AI Agent: From ChatGPT to AI That Acts

    用 LLM、上下文、工具、循環四個零件拆解 AI Agent 的本質,對比聊天機器人與 Agent 的差別,給出日常、開發、商業三個例子與真實失敗模式,幫你判斷自己的需求該不該用 Agent。

    11 minChinese only
  2. 02
    Set Up Your LLM Dev Environment in Five Minutes

    從零搭好能呼叫 LLM API 的開發環境:Python 安裝、虛擬環境、API Key 取得與環境變數管理,最後用一條 curl 指令驗證整條鏈路。macOS 與 Windows 雙平台完整指令,重點講解金鑰安全管理與不洩漏進 git 的做法。

    15 min1 prerequisiteChinese only
  3. 03
    Your First LLM API Call: Tokens, Billing, and Common Errors

    用 Python 的 openai SDK 發出第一個 LLM 請求:搞懂 system、user、assistant 三種訊息角色的分工,temperature、max_tokens 與串流輸出的取捨,以及 token 計費概念與用量估算方法,最後整理新手必遇錯誤的排查步驟。

    21 min1 prerequisiteChinese only
  4. 04
    Understanding the Transformer Architecture: Attention Is All You Need

    An in-depth understanding of the core components of Transformer: Self-Attention, Multi-Head Attention, Positional Encoding, and how they replaced RNNs to become the foundational architecture of modern LLMs.

    7 min1 prerequisite
  5. 05
    Prompt Engineering Systematic Methodology: From Few-shot to ReAct

    A complete methodology for Prompt Engineering: principles and practical applications of techniques such as Few-shot, Chain-of-Thought, Tree-of-Thought, ReAct, and Self-Consistency.

    6 min1 prerequisite
  6. 06
    May 2026 LLM API Pricing Landscape: Complete Comparison of DeepSeek, Qwen, GLM, Kimi, MiniMax, and Doubao

    Cross-verified through multiple search engines including Exa, Tavily, and Brave, this compiles per-million-token pricing for DeepSeek V4, Qwen3.6-plus, GLM-5, Kimi K2.5, MiniMax M2.7, Volcano Engine Doubao Seed 2.0, and Claude/GPT, with a Sub2API cost setup guide.

    12 min1 prerequisite
  7. 07
    Three-Layer Framework LLM API Configuration Summary: DS V4 Pro, Qwen 3.6, oMLX Local

    A complete guide to configuring DeepSeek V4 Pro, Qwen 3.6-Plus, and oMLX local Qwen3 Coder Next across Hermes Agent, OpenClaw, and Claude Code.

    9 min1 prerequisite
  8. 08
    Highly Useful Claude Code System Prompt Templates

    A curated set of battle-tested Claude Code system prompts, covering common scenarios such as code review, refactoring, and documentation generation.

    5 min1 prerequisite
  9. 09
    Your First Agent: A Hello World That Uses Tools

    不用任何框架,手寫一個真的會做事的 Agent:會查天氣、會算數學、自己循環到任務完成為止。逐步拆解 Agent 循環的六個步驟、終止條件與常見踩坑,寫完你就懂框架替你做了什麼。

    28 min1 prerequisiteChinese only

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Curriculum structure last updated 2026-09-29. Content is still being filled in; lessons marked “in progress” are not live yet.