111 related articles

Deep dive into Dify, the open-source LLM app development platform featuring visual workflow engine, RAG knowledge base, Agent capabilities, hundreds of model integrations, Docker deployment, and comparisons with LangChain, Coze, and FastGPT.

Complete guide to Dify's four core modules (Explore, Studio, Knowledge Base, Tools) with step-by-step Docker self-hosted deployment instructions for building production-grade AI apps.

Complete guide to Dify 1.8 deployment changes, five application types explained, and a detailed comparison with Coze, RagFlow, and N8N for enterprise AI platform selection.

Alibaba's open-source CLI tool OCR (Open Code Reviewer) achieves 4.7x precision improvement and 14x Token reduction through a deterministic engineering + Agent hybrid architecture for AI code review.

A comprehensive guide to building enterprise knowledge bases with RAG, covering vector database selection, text chunking, Embedding models, multi-strategy retrieval, re-ranking, and Agent integration for high-accuracy AI Q&A systems.

Deep dive into Agent Skills: how they solve React Agent pain points through on-demand loading and capability modularization, improving decision precision for production-ready enterprise AI Agents.

AI Engineer is evolving from a vague concept into a fast-growing career track. This article analyzes the role's core skills—Prompt Engineering, RAG, Agent development—and industry trends from the AI Engineer Conference.

A practical guide for Java developers to build AI apps without switching languages — covering LLM APIs, prompt engineering, RAG, Spring AI, and Langchain4j.

A 6-week systematic learning roadmap for AI Agent development, covering core architecture, ReAct principles, multi-agent collaboration, RAG integration, and deployment.

A complete learning path for AI Agent development covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, and lightweight deployment to guide developers from basics to production.

A deep dive into n8n's open-source workflow automation platform, covering AI Agent, Chain nodes, Tool nodes, and a complete guide to building RAG knowledge base Q&A systems.

Deep analysis of Anthropic's Cloud Managed Agents memory architecture, covering file-first strategy, memory store reuse, Dreaming async consolidation, and key differences from Claude Code's memory system.
Deep Dive into the Three AI Programmin…
Deep dive into the three frameworks of Specification-Driven Development (SDD) for AI programming: Blueprint, Execution Flow, and Change Records — solving the problem of AI code going off the rails.

Cursor reveals internal data: enterprise AI-generated code surges from 15% to 75%, Agent requests grow 15x YoY, and 30% of PRs are completed entirely by Agents. Engineers are becoming Agent managers.

A systematic guide to LangChain LLM application development, covering environment setup, core components (RAG, Chain, Memory), and Agent development to help developers master LLM app building.

OpenAI introduces Pixel Identicons for Codex background agents, using stable visual identifiers to solve multi-agent recognition challenges and reduce cognitive load in AI programming workflows.
TutorialsLearn how Zion's no-code platform lets you build AI agents via drag-and-drop, with a hands-on prompt optimization assistant tutorial covering knowledge base integration, UI building, and API access.
Product ReviewsDeep dive into OpenHuman open-source AI Agent: context-first architecture, Rust+React hybrid, Memory Tree system, Token Juice compression, and multi-model routing.
TutorialsLearn how to transform Claude Code from a random prompting tool into a systematic Agentic OS through three layers: architecture, Obsidian memory, and an observability dashboard.
TutorialsA detailed guide to Dify 1.8.0 Docker deployment, environment setup, and AI app building. Covers five app types, comparisons with Coze, workflow creation, and more for this open-source AI platform.