With LangChain’s transition to v1, a significant portion of legacy chain-based example code has become outdated. Controlling complex flows with chains also leads to tangled code quickly. This repository by baem1n bridges that gap with dozens of Korean-language Jupyter notebooks. How to Design State and Nodes in LangGraph LangGraph defines flows around State and Node. It makes explicit how data moves through each stage and branches paths based on conditions. It sounds abstract in words, but running the Python code in a notebook makes the structure click fast. Set up the environment with the uv package manager and execute nodes one by one – you start to see the principle of data flowing between nodes. Advanced RAG flows that rewrite questions or adjust priorities are also covered step by step, ready to transplant into production projects. Managing Prompt Patterns as Modules The data analysis examples show a flow where an LLM generates a query, executes it in a sandboxed environment, and continues to visualization. Using the Deep Agents harness to separate recurring prompt patterns into modules makes it easier to maintain conventions in team-scale development. Pre-recorded execution results are included, so you can trace how a bot selects tools and operates without spinning up a large model yourself. This saves considerable time when trying to understand the internal mechanics. Key Takeaways Running LangGraph State/Node design as Python code step by step makes non-deterministic flow control concepts click fast Managing dependencies with uv cuts environment setup time and lets you dive straight into practice Modularizing prompt patterns with the Deep Agents harness keeps team development conventions consistent Related Posts How We Chose These Four Open-Source Tools — Agent orchestration tech stack selection Practical Agent Design from the OpenAI Guide — Predictability and control in agent design Source: https://www.linkedin.com/posts/baem1n_github-baem1nlangchain-langgraph-deepagents-notebooks-activity-7435985777458561024-TULI?utm_source=share&utm_medium=member_android&rcm=ACoAAAGPfasB-djMifTErXTP5V7RQzL6YbO5POo