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Dyad: A Free, Open-Source AI Full-Stac…
In-depth review of Dyad, an open-source AI full-stack builder. Supports local execution, multiple AI models, and component-level editing. A free, privacy-first alternative to Lovable and Bolt.new.
Claude Code 2.0 Complete Breakdown: Ch…
Deep dive into Claude Code 2.0's core features: checkpoint rollback, context window visualization, usage tracking, native VS Code extension, and MCP server integration, with comparisons to Cursor and Codex.
The Complete Guide to Cursor 2.0: Plan…
A detailed guide to Cursor 2.0's three AI modes (Plan, Agent, Ask) and core features including inline editing, multi-Agent parallelism, project rules, and version control for efficient AI-powered development.
Tech FrontiersExplore NVIDIA Muse Spark's features as an AI creative tool, discover community users' creative applications in work and entertainment, and analyze AI creative tool ecosystem trends.
Cursor vs Tongyi Lingma vs Qoder: A Co…
In-depth comparison of Cursor, Tongyi Lingma, and Qoder across price, speed, code quality, IDE support, and Agent capabilities with selection advice.
UnityMCP 1.0 Hands-On Review: Generate…
Detailed review of UnityMCP 1.0 plugin covering installation, core features, and real-world results. This MCP plugin integrates directly into Unity Editor, enabling automatic scene building, scripting, and component attachment via natural language.
ACP Protocol Explained: A New Open-Sou…
Deep dive into ACP (Agent-Client Protocol): how Zed and Google Gemini standardize IDE-to-coding-agent communication, its architecture, and how it complements MCP.
TutorialsDeep dive into LangGraph's core graph structure design, single and multi-agent collaboration patterns, MCP protocol integration, and Time Travel fault-tolerance, with enterprise-level hybrid multi-agent architecture implementation.
Product ReviewsDeep analysis of Cursor 3.0's three core upgrades: Rust rewrite leaving VS Code behind, in-house Composer 2 model with 86% cost reduction, and Agent Windows for multi-agent parallel development.
Product ReviewsCursor restricted in China? This article reviews three AI coding alternatives: Augment Code for smart prompt optimization, Trae for best value, and Amazon Kilo for process-driven development.
TutorialsComplete guide to Cursor AI programming tool: installation, core features, and practical tips. Compares GitHub Copilot, Windsurf, Trae and more to help beginners boost development efficiency 10x.
TutorialsComplete guide to Cursor 1.0: installation, Chinese setup, MCP configuration, and AI Agent tips. From download to folder management, model selection, and file referencing for beginners.
Deep DivesDeep analysis of two MCP ecosystem breakthroughs: code execution compresses tool definitions from 150K to 2K tokens, and Agent Skills enable capability packaging and reuse.
TutorialsLearn how to build a ChatBI data analysis Agent from scratch using LangGraph + multi-MCP architecture, covering centralized-to-decentralized evolution, NL2SQL, agent orchestration, and enterprise deployment.
Tech FrontiersAnthropic open-sources a financial Agent suite with 10 specialized Agents covering Pitchbook creation, earnings analysis, and valuation modeling, integrating 11 data sources via MCP protocol under Apache 2.0 license.
Deep DivesDeep dive into MCP (Model Context Protocol): architecture, how it works, and security risks. Learn the key differences between MCP and Function Calling.
TutorialsDeep dive into MCP (Model Context Protocol): its core concepts, three communication mechanisms, and ecosystem. Learn how MCP replaces Function Calling with Streamable HTTP and SDK 2.0.
TutorialsSpring AI is the LangChain for Java, helping Java developers integrate LLMs using Spring Boot conventions. This guide covers its 6 core features, setup requirements, and enterprise positioning including RAG, Tool Calling, and Chat Memory.
Product ReviewsIn-depth comparison of Claude Code, Copilot CLI, Gemini CLI, and Codex CLI — covering MCP support, context windows, open-source status, pricing, and a decision tree for choosing the right tool.
Tutorials2025 complete guide to AI LLMs: local deployment GPU/VRAM requirements (RTX 4090/24GB) and core tech stack including Prompt Engineering, Agents, MCP, LangGraph, and WorkFlow orchestration.