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Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 22, 2026 · Artificial Intelligence

Spring AI Agent Demo: Architecture, RAG, Tools & Sub‑Agents Explained

An in‑depth walkthrough of a Spring AI‑based AI Agent demo showcases its core modules—including AgentCore orchestration, multi‑layer conversation memory compression, function‑calling tool registration, RAG retrieval pipelines, markdown‑driven Commands and Skills, Sub‑Agent isolation, and MCP integration—complete with code snippets, design rationale, and runtime configuration details.

AIAgentFunctionCalling
0 likes · 27 min read
Spring AI Agent Demo: Architecture, RAG, Tools & Sub‑Agents Explained
James' Growth Diary
James' Growth Diary
Apr 8, 2026 · Artificial Intelligence

Practical Guide to Output Parsers: Ensuring Stable JSON from LLMs

The article explains why LLMs often produce malformed JSON, categorizes three common failure types, and walks through modern solutions—including withStructuredOutput + Zod, JsonOutputParser, and OutputFixingParser—plus a decision tree to choose the right approach for production use.

FunctionCallingJSONLLM
0 likes · 14 min read
Practical Guide to Output Parsers: Ensuring Stable JSON from LLMs
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 26, 2026 · Artificial Intelligence

Why Function Calling, MCP, and Skills Matter for Modern AI Agents

This article explains the core concepts of Function Calling, Model Context Protocol (MCP), and Skills, showing how they build on each other to enable reliable tool use, reduce integration costs, and let users define complex workflows with natural language.

AIAgentsFunctionCallingLLMIntegration
0 likes · 18 min read
Why Function Calling, MCP, and Skills Matter for Modern AI Agents
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 25, 2026 · Artificial Intelligence

Why AI Agents Beat Traditional Code and Workflows: Exploring ReAct

This article compares traditional hard‑coded programming, visual workflow tools, and ReAct‑based AI agents, showing how agents let natural language drive decisions, reduce maintenance cost, and enable dynamic, user‑friendly solutions, with concrete code examples and a GitHub reference.

AgentFunctionCallingReAct
0 likes · 9 min read
Why AI Agents Beat Traditional Code and Workflows: Exploring ReAct