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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.
Product ReviewsCursor 1.2 adds built-in automatic task decomposition. AI breaks complex requirements into a To-Do List and executes step by step — no plugins needed, with native task visualization for better control.
TutorialsComplete guide to setting up a VSCode + Claude Code + DeepSeek AI programming environment from scratch, covering Git installation, Claude Code configuration, CC Switch multi-model management, and VSCode plugin integration for embedded developers.
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.
TutorialsA detailed guide to CLAUDE.md convention files covering tech stack declarations, frontend/backend standards, and database design rules to help teams standardize AI code generation and boost human-AI collaboration.
TutorialsA detailed guide for beginners on using Vibe Coding with Google AI Studio to generate web code, then deploying via GitHub and Netlify for a free static website accessible in China — no coding required.
Product ReviewsA designer built a Rive asset trading platform with 99% AI-generated code. Deep retrospective on Vibe Coding reveals AI development's real capabilities and time estimation gaps.
Product ReviewsDeep dive into BeMAD, a GitHub open-source framework with 50+ guided workflows and 21 AI Agents that compressed WeChat Mini Program development from idea to launch into just 6 hours.
TutorialsA systematic AI Agent learning roadmap covering Python setup, Prompt Engineering, RAG, LangChain, multi-Agent collaboration, with enterprise medical consultation system case study and phased learning plan.
TutorialsA systematic LLM engineer learning roadmap covering Transformer basics, prompt engineering, RAG, Agent development, API integration, fine-tuning, deployment, and project practice across six stages.
Industry InsightsA female founder builds HER, a feminist AI product, creating a 7-person + 7 HER AI Native org that explores equal human-AI relationships, vibe coding, and women's creative liberation.
Product ReviewsDeep comparison of AI coding tools like VS Code and Google IDE, revealing why OpenClaw is just a gateway not a coding tool, with analysis on model binding issues.
Product ReviewsHands-on comparison of Claude Code, GitHub Copilot, Cursor, and OpenCode across three real-world tests — bug fixing, large project debugging, and app development from scratch — with pricing and recommendations.
TutorialsA detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
Product ReviewsSystematic evaluation of mainstream AI coding assistants across three models, comparing Claude Code, GitHub Copilot, Cursor, RooCode and more with comprehensive rankings.
Expert OpinionsAnthropic's team claims HTML is better than Markdown for AI output, and Karpathy agrees. A deep analysis of HTML's advantages in information density, interactivity, and visualization, plus its limitations in version control and token efficiency.
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 ReviewsIn-depth comparison of Claude Code vs Cursor across billing models, use cases, and budget matching. Covers four budget plans ($20-$220/month) to help developers find the most cost-effective AI coding tool combination.
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.