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Product ReviewsOpen Design is a local-first open source AI design tool with 40K+ GitHub Stars, featuring 19 design skills, 71 brand-grade design systems, and compatibility with 9+ AI tools including Claude Code and Cursor.
Product ReviewsDeep dive into PaiAgent, a lightweight AI workflow orchestration system built with Spring AI and LangGraph4J. Explore its DAG engine design, differentiation from Dify/n8n, and Vibe Coding development insights.
Deep DivesDeep dive into MCP protocol internals: core concepts of Host, Server, and Tool, complete data flow, Function Calling evolution, and packet capture revealing how Cline actually communicates with LLMs.
Product ReviewsReal-world comparison of Claude 4.6 Opus/Sonnet vs Gemini 3.1 Pro for AI novel writing. Multi-model workflow: Claude for outlines, Gemini for prose, with full reference-based setup process.
Deep DivesExplore how the Singulari-Tea Codex open-source project applies the Single Responsibility Principle (SRP) to Prompt architecture design, building a modular AI narrative system optimized for Gemini 2.5 Pro.
TutorialsIn-depth analysis of SDD (Specification-Driven Development), the core methodology of Vibe Coding in 2025, covering the full workflow from requirements to deployment with tools like Claude Code.
Product ReviewsIn-depth review of Claude Haiku 4.5: 73.3% on SWE-bench rivaling Sonnet 4, input at just $1/million tokens. Covers code generation, agentic coding, SVG tests, and Sonnet+Haiku collaboration strategies.
Tech FrontiersDeep dive into Anthropic's Claude Haiku 4.5: a lightweight AI model with nearly 2x speed, 66% lower cost, and multi-agent support—ideal for developers seeking performance at scale.
Expert OpinionsA developer Vibe Coded with AI for 7 months, made 234 commits and 1,690 lines of code, then the project collapsed. Five hard lessons reveal AI's true limits: it builds features, not architecture.
TutorialsDeep dive into SDD specification-driven development methodology with 4 enterprise-level Vibe Coding projects including Chat BI and multimodal knowledge bases, covering Cursor, Claude Code, and Prompt Engineering.
Expert OpinionsTraditional CI/CD pipelines are being shattered by AI Agents. This article analyzes the shift from PR-driven to intent-driven architecture, exploring Pre-Merge queues, stateful environments, and multiverse development as new continuous computation paradigms.
TutorialsJules MCP Server is an open-source project providing a production-grade MCP server for Google Jules API, enabling Claude and Cursor to orchestrate autonomous coding via multi-Agent collaboration.
TutorialsDeep dive into Microsoft Foundry's Agent observability solution covering multi-Agent tracing, AI quality evaluation, Red Teaming security testing, and automated prompt optimization to bridge the gap between expected and actual Agent behavior.
TutorialsIn-depth analysis of the popular GitHub project ai-agents-from-zero, covering LangChain, LangGraph, RAG, MCP and more, with a complete learning path from beginner to enterprise AI Agent development.
Product ReviewsAIFlowy is an open-source AI app development platform built on Java, rivaling Dify and Coze with visual workflow orchestration, multi-model support, and RAG capabilities for enterprise teams.
Product ReviewsDeep dive into Aix-DB: an open-source multi-agent framework using LangChain/LangGraph and MCP protocol for natural language to SQL, data analysis, and visualization.
Product ReviewsDifyAIA is a popular open-source Dify workflow template project on GitHub with 2500+ Stars. It offers free DSL workflow files for one-click import into Dify. Learn its features, usage, and use cases.
TutorialsA complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
Deep DivesDeep analysis of the Claude Code source code leak, revealing seven core mechanisms of its Harness architecture including context management, tool call orchestration, and state tracking for AI Agent developers.
TutorialsA deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.