Skip to content
View huangjia2019's full-sized avatar
  • A*STAR

Block or report huangjia2019

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. agent-design-patterns agent-design-patterns Public

    A 7×6 framework for agent architecture. 28 patterns, each placed at a coordinate, runnable Python code with verified engineering slices from Claude Code, Aider, OpenHands, DeerFlow. Companion to De…

    HTML 74 8

  2. designing-ai-agents designing-ai-agents Public

    Companion code for 'Designing AI Agents' (Manning, 2027) — 27 agent design patterns, organized by the 7 cognitive modules. Chapters 1–5 available.

    Python 48 10

  3. claude-code-engineering claude-code-engineering Public

    This repository demonstrates how to use Claude Code to do real engineering work, not just writing code. 本项目是极客时间专栏 《Claude Code 工程化实战》 的官方配套示例仓库,目标很明确: 👉 把 Claude Code 从“对话式编码工具”,变成 可设计、可复用、可治理的工程系统。

    JavaScript 830 303

  4. rag-in-action rag-in-action Public

    End-to-end RAG system design, evaluation, and optimization. 极客时间RAG训练营,RAG 10大组件全面拆解,4个实操项目吃透 RAG 全流程。RAG的落地,往往是面向业务做RAG,而不是反过来面向RAG做业务。这就是为什么我们需要针对不同场景、不同问题做针对性的调整、优化和定制化。魔鬼全在细节中,我们深入进去探究。

    Jupyter Notebook 751 304

  5. langchain-in-action langchain-in-action Public

    Practical LangChain patterns and implementations for real-world LLM applications. 极客时间:LangChain实战课 - 这是LangChain框架早期设计的一系列重点模块的直接而清晰的示例和讲解。随着LangChain的快速演进,有些代码需要安装新的版本进行迭代。希望大家在快速浏览课程概念(仍有价值)的同时,…

    Python 757 262

  6. ai-agents ai-agents Public

    Introductory examples for building LLM-based AI agents. 异步图书:《大模型应用开发 动手做AI Agent》 - 这是一些非常简单的入门示例,重在引导新手入门,目前LLM开发领域发展很快,本书只是一个提纲挈领。更多的示例和代码大家可以去OpenAI Cookbook, LangChain Example中去挖掘。

    Jupyter Notebook 501 129