125 related articles

A comprehensive analysis of ASP.NET Core's architecture and technical strengths: cross-platform deployment, high-performance Kestrel server, modular middleware, built-in DI, and modern web capabilities like Blazor, gRPC, and SignalR.

A comprehensive look at n8n, the open-source workflow automation platform: core features, 500+ node ecosystem, AI Agent and RAG integration, plus a fast learning path.

YCloud's latest update: AI Agent with structured messaging & self-optimizing recommendations, Inbox-Calling context coordination, Meta's official template analytics API, expanded Shopify fields, and ChatLink full-chain attribution—boosting WhatsApp marketing & service.

A comprehensive analysis of Asio (Boost.Asio) covering its Proactor async model, completion token mechanism, C++20 coroutine support, and cross-platform I/O abstraction for high-performance C++ networking.

OpenInspect's Multi-Repo Automations lets AI coding agents maintain up to 10 repositories on a schedule simultaneously — isolated sessions, independent PRs, and fault-tolerant execution for security sweeps, dependency upgrades, and framework migrations.

No Amazon on-campus recruiting? This guide details the off-campus path for CS students: DSA practice strategy, ML/LLM skill-building, portfolio creation, resume optimization, and referral tips.

A collection of 28 fully reproducible enterprise-grade AI Agent projects covering code debugging, financial analysis, customer service, and multi-agent collaboration—deployable even for beginners.

HKUDS's open-source Vibe-Trading gained nearly 1,000 GitHub stars in a day. This deep dive covers its LLM+Tool Calling architecture, core modules, and the risks of AI-driven trading agents.

A systematic four-stage roadmap for AI Agent development: fundamentals, core principles, enhancement, and real-world deployment. Build complete Agent skills.

Davit is an open-source native macOS UI tool built for Apple Containers, offering graphical container status management, image viewing, and log monitoring.

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.

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.

AI use has three levels: Chat, Automation, and Agent. Learn how to use tools like Manus AI with a "director mindset" to build fully automated workflows — no technical background required.

OpenAI officially launches the GPT-5.6 family, including the Sol flagship, Terra balanced, and Luna lightweight models. Coding capabilities set a new industry benchmark, generating a Minecraft clone in 90 minutes—while OpenAI publicly opposes U.S. government release restrictions.

In-depth look at DryFox v0.3.3's three core features: multi-role agent team collaboration, one-click reusable team templates, and block-style composable UI panels. With Stop Hook, file mailbox comms, and hot-reload plugins.

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.

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.

A systematic Claude Code learning guide built for Chinese developers, covering ten core modules including Slash Commands, Memory, MCP, and Hooks, with a three-tier path to build an AI coding workflow in 11–13 hours.

Build a complete Gomoku game in Python using Pygame. Covers board rendering, mouse events, win detection, and game state management — great for beginners.