199 related articles

Want to become an Agent engineer? This article systematically covers three core skill tracks—LLM fundamentals, LangChain architecture development, and enterprise deployment—to help you avoid detours.

A detailed guide to Dify, the open-source LLM app development platform, covering its core features and full local deployment via VMware + Ubuntu + aaPanel + Docker. Supports 100+ models like DeepSeek and ChatGPT to build enterprise AI apps fast.

Master LangChain from scratch: the three limitations of LLMs, init_chat_model unified interface config, the Message type system, and the path from LLM calls to Agent development.

A deep dive into LangChain's positioning and value—why do LLMs need a middle layer? How does LangChain serve as the 'glue' unifying multi-model interfaces and supporting Agent development? Learn its core modules and learning path.

An open-source AI Agent with 380K stars ranks only third? This comparison of 6 self-hosted AI Agents scores them on persistence, self-evolution, and data control—revealing why Generic Agent won with just 3,000 lines of code.

An in-depth look at LangChain 1.3's core modules and DeepAgent architecture—covering the Harness philosophy, LangGraph internals, HITL, memory management, and guardrails to master production-grade AI Agent development.

OpenAI releases GPT-5.6 with three models — Sol, Terra, Luna — bringing major gains in coding and cybersecurity. More critically: the U.S. government now reviews AI model releases, making frontier AI regulation the new industry norm.

Microsoft's optional update KB5095093 fixes a Windows 11 bug where the CapabilityAccessManager.db-wal SQLite WAL file bloats to several GBs due to a failed checkpoint mechanism.

Frontend hiring now treats AI capabilities as a core assessment, covering RAG knowledge bases, AI Agent development, and LangChain.js engineering. Learn how LangChain.js + Nuxt.js helps frontend developers build memory- and retrieval-capable AI full-stack apps.

A hands-on guide to building an enterprise-grade AI Agent workflow orchestration app with Electron Forge and LangGraph, covering local LLM deployment (Qwen3-0.6B), node-based visual canvas design, and full Function Calling integration.

Shellular lets developers remotely control AI coding assistants like Claude Code and Codex from their phones. A deep dive into the problem it solves, its architecture, and the real demand for mobile AI coding.

An in-depth look at why TypeScript is the top choice for AI Agent development: covering Zod structured output validation, LangGraph's graph state machine design, and a full learning path for front-end devs transitioning to full-stack AI.

A systematic AI Agent learning roadmap in four progressive stages: fundamentals → ReAct core paradigm → memory & tools → multi-agent collaboration. Master LangChain, AutoGen, and more, growing from beginner to practical developer in three months.

An in-depth analysis of LangGraph's core concepts: short-term and long-term storage mechanisms, its differences from LangChain, the MIT open-source license, and private deployment solutions for enterprise Agent development.

In-depth analysis of Alibaba's comprehensive internal ban on Claude Code: from the hidden-marker controversy and Anthropic's regional-restriction stance to five core questions of enterprise AI coding tool security admission.

Google launches five major Gemini Spark upgrades including macOS native integration and Smart Triggers, transforming AI assistants from passive chat tools into proactive Personal AI Agents for around-the-clock autonomous task handling.

Google launches five major Gemini Spark upgrades including macOS native integration and Smart Triggers, transforming AI from passive chatbot to proactive Personal AI Agent for always-on task handling.

Master OpenAI Codex fast, even from scratch! Learn Codex vs ChatGPT differences, four versions, interface tips, plugins & skills, browser automation, plus six best practices.

Taiganet.com is simulating the WS4000 industrial control system. This niche project preserves the engineering wisdom from before the PLC and SCADA era. A deep look at the challenges of ICS simulators, knowledge preservation, and reverse engineering in OT security research.

Kontext is a context migration tool for multi-AI users, enabling one-click transfer of full conversation history between ChatGPT, Claude, and Gemini to solve the context silo problem.