#LLM agent
3039 related articles
Tutorials·2 min
Spring AI in Practice: Building a Text-to-SQL Agent Tool Chain from Scratch
Build a Text-to-SQL assistant using Spring AI Alibaba Agent Framework with a four-step Tool chain, plus solving ThreadLocal failures in stream mode with RunnableConfig.
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Tutorials·2 min
Gemini Multimodal Agent Development in Practice: Full-Pipeline Architecture from Understanding to Generation
In-depth analysis of Google Gemini multimodal Agent development: 1M token context for multimodal understanding, native image & speech generation, Live API real-time interaction, and full Notebook LM clone architecture.
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Tutorials·2 min
Building an AI Research Assistant with Python + LangChain: Eliminating Academic Hallucinations via MCP
Build an AI research assistant with Python, LangChain, and Consensus MCP. Eliminate LLM hallucinations in academic citations using structured outputs and real-time literature retrieval.
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Tutorials·2 min
OpenClaw Deployment Tutorial: Setting Up an AI Agent + Telegram Bot on a VPS
Step-by-step tutorial on deploying the OpenClaw AI Agent on a VPS from scratch, configuring Node.js, connecting a Telegram Bot for remote interaction, with security tips and expansion ideas.
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Industry Insights·2 min
Three Jobs AI Will Replace First in 2025: What's Next for Customer Service, HR, and Programmers?
In-depth analysis of three jobs AI will replace first in 2025—customer service, HR, and programmers. How intelligent systems, AI recruitment tools, and coding assistants are accelerating displacement.
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Tutorials·2 min
Java + AI: A Practical Path for Programmers to Break Through the Age-35 Career Crisis
How Java programmers can break through the age-35 career bottleneck by stacking AI skills. Covers AI learning levels, Java+AI synergy, and actionable transition strategies.
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Tutorials·2 min
Senior Developers Transitioning to AI: A 2025 Pitfall-Avoidance Guide & Practical Roadmap
How can 30+ programmers efficiently transition to AI? Practical advice on learning strategy, project experience, and interview techniques to break into AI.
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Tutorials·2 min
Complete Guide to Claude Skills 2.0: Skill Creation, Evaluation, and Real-World Applications
Deep dive into Claude Skills 2.0: two skill types, the new skill creator, evaluation system, and a cold email marketing case study that boosts task pass rates from 40% to 100%.
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Tutorials·2 min
Claude Code + Cline in Practice: Building a Meeting Summary Agent Skill from Scratch
Learn how to build a Meeting Summary Agent Skill with Claude Code and Cline, covering MCP protocol integration, sentiment analysis, and structured output design.
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Tutorials·2 min
Obsidian + Claude Code: A Practical Guide to AI-Automated Personal Knowledge Base Management
Learn how to build an AI-driven personal knowledge base with Obsidian and Claude Code. Covers three-layer architecture, Ingest/Query/Maintain workflows, and human-AI collaboration principles.
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Product Reviews·2 min
10 Recommended Open-Source Claude Code Tools for May 2025
10 curated open-source Claude Code tools for May covering Token optimization, knowledge graphs, frontend design extraction, browser automation, and more to boost AI coding efficiency.
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Tutorials·2 min
Claude Code Installation Guide: Configuration for China-Based Users & Superpowers Plugin in Practice
Complete guide to installing Claude Code in three commands, configuring models for China-based users via manual setup or CCSWITCH, and using the Superpowers plugin with TDD to boost AI code quality.
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Product Reviews·1 min
Kman Plugin Review: Cut Claude Code Output Tokens by 65% and Save Big
How the Kman plugin uses prompt injection to cut AI output tokens by 65% without losing code quality. Covers installation, benchmark data, three intensity modes, and Kman Review.
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Tutorials·2 min
LangChain Conversational Memory in Practice: Principles and Latest Implementation of Four Memory Types
Deep dive into four conversational memory types in LangChain 0.3: Buffer, Window, Summary, and Summary Buffer. Covers RunnableWithMessageHistory implementation with selection guidelines.
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Tutorials·2 min
LangChain v0.3 Agent Tutorial: Complete Guide to Tool Definition, Building, and Execution
Complete guide to building AI Agents in LangChain v0.3, covering @tool decorator, Agent Executor, parallel tool calls, Google Search integration, and ReAct framework with code examples.
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Tutorials·2 min
LangChain Agent Executor Architecture: Building a ReAct Agent from Scratch
Deep dive into LangChain Agent Executor internals, covering the ReAct reasoning-action-observation loop, tool choice strategies, and building a custom Agent Executor from scratch.
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Tutorials·2 min
LangChain AI Agent in Practice: Complete Tutorial on Streaming Output + Parallel Tool Calling
Learn how to build a production-grade AI Agent chat app with LangChain and FastAPI, covering streaming tokens, asyncio parallel tool calling, SerpAPI async conversion, and structured output.
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Tutorials·2 min
LangChain Streaming Output & Async in Practice: Complete Implementation for Agent Scenarios
Deep dive into LangChain streaming output and async implementation, covering astream usage, custom AsyncQueueCallbackHandler, and Agent streaming executor architecture for production AI apps.
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Tutorials·2 min
Practical Guide to OpenAI Agents SDK Message Types and Conversation History Management
Deep dive into OpenAI Agents SDK's five message types, conversation history management, and common pitfalls including static/dynamic instructions and Function Call pairing.
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Deep Dives·2 min
AI Agent Conversation History Management: From Message Lists to Event-Driven Architecture
Traditional user-assistant alternating chat history can't meet complex AI Agent needs. This article explores modeling Agent interactions as event sequences, revealing Agents as workflow engines.
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