112 related articles

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.

A detailed guide to Coze's core features: cross-platform interoperability, the Skills system, multi-agent collaboration, and workflow building. Compare Coze and Dify to build practical AI apps with zero coding.

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.

Pure frontend roles are shrinking; AI Agent development is the high-salary divide. This guide breaks down the full skill tree for frontend engineers pivoting to AI: TypeScript, frameworks, AI productivity, and Agent core concepts (MCP, Tool Calling, Skill).

Learn how to extend Hermes Agent's external system capabilities via MCP (Model Context Protocol): setup, whitelist permissions, WSL-to-Chrome bridging, and multi-server orchestration for AI Agent developers.

Gemini CLI is Google's open-source AI terminal tool that deeply integrates Gemini model capabilities into the command line—supporting code generation, file operations, Shell execution, and MCP protocol extensions, with 1,000 free daily requests.

An in-depth guide to installing, configuring, and extending OpenCode, the terminal AI coding assistant. Covers desktop and WSL installation, model config, MCP integration, and custom Agents.

A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.

A practical guide for Java developers to build AI apps without switching to Python. Learn LangChain4j, RAG, Function Calling, and MCP through an airline customer service project.

herder is a terminal multiplexer for coding agents like Claude Code and Codex, combining tmux power with mouse support, agent state awareness, and session persistence for efficient multi-agent workflows.

Using the Fable porting framework, Command & Conquer: Generals has been natively ported to macOS, iPhone, and iPad. Explores DirectX-to-Metal challenges, touch adaptation, and game preservation.

OpenAI announces Codex shortcut upgrades focused on developer workflow optimization. Analysis of upgrade directions, industry competition, and expected improvements to code completion and natural language triggers.

Manticore Search restructured its ONNX inference path to achieve 14x faster text embeddings. Deep dive into batching, session reuse, zero-copy memory, and thread tuning for vector search systems.

Playwright's three new Test Agents—Planner, Generator, and Healer—cover the full pipeline from test design to script generation and auto-repair, integrated with VS Code, Claude Code, and more.

Gas Town is an open-source multi-agent workspace manager built in Go with 16,000+ GitHub Stars. This article analyzes its architecture, Go language advantages, and typical multi-agent collaboration scenarios.

UE5.8's official MCP plugin enables Claude Code and other AI Agents to directly control Blueprints, PCG graphs, materials, and level design. Complete setup and testing guide included.
MSI Center High-Risk Privilege Escalat…
Security researchers disclose an MSI Center LPE vulnerability allowing standard users to escalate to SYSTEM in seconds. Analysis of root causes, impact, and mitigations for MSI device users.

Learn FastAPI fundamentals: frontend-backend separation, what API interfaces really are, and how RESTful standards work. Essential groundwork for Python backend development.

MCP Server vs Agent Skills: how to choose? This article systematically outlines an AI Agent architecture decision framework across three dimensions—essential differences, applicable scenarios, and judgment criteria.

Learn FastAPI from the ground up: understand frontend-backend separation, Starlette's ASGI architecture, and RESTful API design before writing a single line of code.