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Product ReviewsGoogle's AI coding assistant Jules exits Beta with environment snapshots, Critic Agent reinforcement learning code review, interactive planning, web preview, web search, and more.
Tech FrontiersAnthropic will host its inaugural Compile conference on June 16, 2025 in San Francisco, bringing together engineers, researchers, and builders to explore how AI is reshaping software development.
Deep DivesDeep dive into MCP (Model Context Protocol): architecture, how it works, and security risks. Learn the key differences between MCP and Function Calling.
Product ReviewsHands-on comparison of Cursor, Claude Code, and Windsurf across code quality, dev speed, security, and value — find your ideal AI coding assistant.
Product ReviewsHands-on comparison of Gemini 3.1 Pro vs Claude Opus 4.6 across five real-world tests including SVG generation, interactive components, website building, and complex reasoning, with practical usage recommendations.
Product ReviewsIn-depth comparison of Claude 4.5 vs Gemini 3 Pro across five benchmarks including ARC-AGI-V2, SWE-Bench, and Terminal Bench 2.0, revealing their real coding and reasoning strengths.
Product ReviewsTesting ChatGPT, Manus, and Kimi on the same investment analysis task reveals how multi-agent architecture, fault tolerance, and parallel workflows define the real capability boundaries of AI Agents in professional finance.
TutorialsHow can frontend engineers advance into AI Agent development? This guide covers LangGraph.js core architecture (state, nodes, edges), LangChain comparison, and workflow agent design with practical examples.
TutorialsLearn how the Deep Agents framework solves enterprise AI Agent challenges like tool sprawl and context pollution, with a complete Deep Research implementation guide covering task decomposition, multi-source integration, and structured report generation.
TutorialsDecode LLM naming conventions, understand 32B parameters & AWQ/GGUF quantization formats, with 4-bit VRAM estimation formulas, MOE model pitfalls, and model selection by GPU tier.
Product ReviewsA deep cost comparison between AI coding appliances and cloud LLM APIs. A 20-person team spending ¥480K/year on tokens can deploy 4 local OnePanel units at ¥99K each, breaking even in 2.5 months.
TutorialsLearn how AI code explanation helps C# developers quickly understand others' code. A 3-step demo with Tongyi Lingma for code handoffs, Code Review, and legacy system maintenance.
Deep DivesA deep dive into RAG (Retrieval-Augmented Generation) technology, covering LLM hallucinations, data staleness, and limited expertise, plus RAG workflows, core components, and LangChain learning paths.
TutorialsA complete 7-step Vibe Coding guide from requirements to deployment. Learn how non-developers can independently build and ship products using VS Code and Claude Code, with PRD writing, static Demo validation, and step-by-step development.
Industry InsightsLu Songsong uses AI to redesign his website backend, claiming years of design lead. This article analyzes AI-assisted web design's real impact, boundaries, and what truly drives product leadership.
Product ReviewsAI coding tools crashing when building websites? This article analyzes root causes including multi-window concurrency, API rate limiting, and network instability, with practical solutions.
TutorialsA blogger uses VS Code and Alibaba Cloud Qwen 3.6 to completely revamp a six-year-old webmaster networking feature. This article details the tech stack, prompt engineering, and practical insights from AI-powered feature renovation.
Product ReviewsDeep testing GPT-5 Codex: 93.7% Token savings on simple tasks with deeper reasoning on complex ones. But UI quality drops, search is poor, and tool ecosystem fragmentation remains a major issue.
TutorialsDeep dive into OpenAI Codex plugin system architecture (Skills, Apps, MCP Server), four installation methods, and a macOS app development case study showing how plugins boost AI coding efficiency.
Product ReviewsDeep dive testing OpenAI Codex cloud coding agent on a 50K-user production codebase, covering bug fixes, prompt optimization, and frontend UI tasks, with insights on the 30% completion rate value.