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An open-source guide for backend developers on AI application development, AI programming practices, and interviews, covering core technologies and engineering practices such as LLM, Agent, RAG, MCP, Claude Code, Codex, and more. Benchmarking JavaGuide! If it helps, welcome to Star!
Knowledge Points/Interview Questions Summary (Must-read :+1:):
Important Knowledge Points Explanation:
Knowledge Points/Interview Questions Summary:
Source Code Analysis:
Knowledge Points/Interview Questions Summary (Must-read :+1:)
Important Knowledge Points Explanation:
The JVM part mainly refers to the JVM Specification - Java 8 and Zhou Zhiming's book 《Deep Understanding of Java Virtual Machine (3rd Edition)》 (strongly recommend to read it several times!).
Knowledge Points/Interview Questions Summary:
Important Knowledge Points Explanation:
Illustrated Data Structures:
Other Commonly Used Data Structures:
The algorithm part is very important. If you don't know how to learn algorithms, you can refer to:
Summary of Common Algorithm Problems:
Additionally, GeeksforGeeks has a comprehensive summary of common algorithms.
Knowledge Points/Interview Questions Summary:
Important Knowledge Points:
$ claude mcp add JavaGuide \
-- python -m otcore.mcp_server <graph>