2883 related articles
Industry InsightsDeep analysis of Claude Code's open-source architecture: six core design principles including dual-loop mechanism, seven-step tool pipeline, four-layer token compression, multi-agent collaboration, and memory systems.
TutorialsComplete Hermes Agent deployment tutorial for Windows: environment setup, model configuration, WeChat channel connection, and troubleshooting. Uses fewer tokens than CrawlAI with direct WeChat chat support.
Product ReviewsDeep dive into OpenSwarm, an open-source multi-agent system where 8 specialized agents collaborate to generate complete deliverables—research, charts, slides—from a single prompt.
TutorialsTesting Hermes agent coordinating DeepSeek V4 and MiniMax 2.7 for collaborative coding: PDF export in 9 minutes, RSS service built from scratch in Nim language.
Product ReviewsInsForge is an open-source backend platform that lets AI coding assistants like Claude Code and Cursor directly invoke databases, auth, storage, Edge Functions, and deployment via MCP Server.
Deep DivesIn-depth analysis of three core reasons Python dominates AI development: simple syntax for quick onboarding, powerful ecosystem, and industry-wide network effects.
Product ReviewsDeep dive into Photoshop 2025's seven new features: 3D object support returns, Find Distractions removes wires and people, Firefly Model 3 upgrades generation quality, Generative Workspace enables batch creation, with detailed comparisons and usage tips.
Product ReviewsDeep dive into Gemini CLI V0.9.0's two core updates: Interactive Shell for seamless TUI programs like Vim and htop, and Codebase Investigator Agent for intelligent project-level refactoring with safe rollback.
TutorialsA detailed guide to OpenCode's three installation methods (Desktop, CMD, WSL) and core features including Agent architecture, custom commands, MCP integration, and Agent Skills.
TutorialsComplete guide to building a coin identification app with Claude Code, covering tech stack selection, AI integration, real-device testing, and App Store publishing, with CoinSnap's $500K/month business model analysis.
TutorialsDeep dive into Coze's Skill feature: progressive disclosure concepts, practical cases in comic generation and contract review, two creation methods, and layered SOP design principles.
TutorialsPractical guide to batch AI image generation on Mac using Draw Things, covering prompt iteration strategies, negative prompt pitfalls, performance tips, and the decision to switch to Replicate cloud platform.
TutorialsA systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
TutorialsDeep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
Product ReviewsDeep dive into Tencent Marvis system-level AI assistant, analyzing its local knowledge base, semantic search, privacy mode, and how Agents evolve from tools to OS integration.
Product ReviewsHands-on test using OpenAI Codex to replicate the world's coolest 3D gamified homepage, compared with free AI coding tools. Reveals the massive gap between top-tier and free models in complex project comprehension.
Product ReviewsHands-on comparison of 9 AI search tools including Tavily, Exa, XCrawl, and Firecrawl across search accuracy, web crawling, SERP aggregation, and special features to help developers choose the right search solution for AI Agents.
Product ReviewsAider Workshop is an open-source JetBrains IDE plugin providing a visual workbench for CLI AI coding tools like Claude Code and Codex, with session history management and quick task launching.
Deep DivesA beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
TutorialsExplore the semi-AI approach to API automation testing: why pure AI fails, framework design principles, technology choices, and clear human-AI division of labor for practical implementation.