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Deep analysis of MediaCrawler, a popular GitHub open-source project using Playwright browser automation for multi-platform crawling across Xiaohongshu, Douyin, Kuaishou, Bilibili, Weibo, Tieba, and Zhihu.

Deep dive into the popular GitHub project MediaCrawler — a Playwright-based multi-platform crawler framework supporting data collection from Xiaohongshu, Douyin, Kuaishou, Bilibili, Weibo, Tieba, and Zhihu.

GitHub Trending July 27: AI Agent Skills explode as claude-video, impeccable, and last30days-skill extend model capabilities without modifying models themselves.

How AirOps replaced traditional workflow builders with the Claude Agent SDK to build an AI agent platform for content marketers — covering three architectural iterations, harness engineering, and sub-agent context management.

A deep dive into Harness architecture in enterprise Agent projects, covering MCP protocol, sandbox isolation, multi-model scheduling, and ASGI deployment — key topics for LLM job interviews.

LangChain is the leading open-source framework for LLM application development, supporting GPT-4, GLM, and other mainstream models. This article dives into its three core concepts: Components, Chains, and Agents.

A Rust-based AI Agent evaluation framework uses the GAIA benchmark to compare GPT, Claude, DeepSeek and other models with no tools. Results show pure LLMs cap at ~25% accuracy, revealing why tool use is decisive for Agents.

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.

A must-read intro to Python web scraping: from HTTP requests and HTML parsing to data storage, systematically explaining how crawlers work and their full workflow, while clarifying legal boundaries like the robots protocol and privacy protection.

Want to learn Python from scratch but don't know where to begin? This article breaks down three stages—basic syntax, advanced mastery, and hands-on practice—with real projects in crawling, automation, and data analysis to help you build programming thinking.

A deep dive into Harness Engineering architecture: building an AI procurement assistant on ERP systems, covering multi-agent orchestration, MCP protocol, ASGI deployment, and sandbox isolation.

A systematic Python learning path for beginners covering syntax, OOP, web scraping, office automation, and data analysis, with methodology tips and resources.

A complete Python beginner's guide covering language features, six ideal learner profiles, and seven application areas. Discover why Python is the best choice for coding beginners and AI learners.

Complete guide to Hermes Agent from basics to practice, covering architecture analysis, Rules.md configuration, MCP service integration, and three hands-on projects: AI news bot, auto blog development, and scheduled code review.

Real-world test of ChatGPT 5.4, Gemini 3.1, DeepSeek V4 Pro, and Kimi 5.1 on a Baidu dynamic web scraping task reveals surprising gaps in AI coding ability.

Complete guide to building automated AI agents with Cherry Studio and MCP protocol, covering environment setup, MCP Server configuration, web scraping, Shell execution, and Ollama local knowledge base deployment.

Using a todo app's full development lifecycle as a guide, this article covers 35 core full-stack technologies from frontend to backend, databases, DevOps, cloud deployment, and scaling architecture.
TutorialsZero2Agent is an open-source interview prep tutorial covering Agent fundamentals, LangGraph/Claude Code analysis, interview question banks, and coding practice tools for landing Agent engineer roles at top tech companies.
TutorialsStep-by-step Claude Code installation guide with Volcengine GLM5.1 Chinese LLM. Hands-on Agent demos for Bilibili data scraping and ComfyUI setup. No coding required.
TutorialsA complete guide to AI-driven browser automation with Hermes Agent and Playwright, covering setup, three AI modes (snapshot decisions, multi-turn dialogue, autonomous exploration), retry mechanisms, and optimization tips.