2562 related articles
Product ReviewsBuildWithClaude is a GitHub project with 2876 Stars aggregating Claude ecosystem resources across Skills, Agents, Plugins and more. Learn its core features and usage to discover and integrate Claude Code extensions.
TutorialsDeep dive into the GitHub project claude-code-showcase: Hooks, Skills, Agents, and GitHub Actions configuration for Claude Code with gradual adoption strategies.
TutorialsDeep dive into the 9600+ Star project claude-code-infrastructure-showcase: Skill Auto-Activation, Hooks, and multi-agent architecture for engineered AI coding workflows.
Product ReviewsDeep dive into NetCoreKevin, an open-source .NET project integrating Semantic Kernel and RAG for AI knowledge base agents, with multi-tenant SaaS, MCP protocol, and distributed transaction support.
Deep DivesIn-depth analysis of Claude Code CLI's open-source architecture, covering its 43 built-in tools, React+Ink terminal UI, MCP protocol, and multi-Agent collaboration mechanisms.
Product ReviewsDeep dive into Hugging Face Transformers, covering core features, API design, model ecosystem, and practical code examples. Learn how this 160K-Star project lowers AI barriers and drives democratization across LLMs, computer vision, and multimodal AI.
Product ReviewsDeep analysis of the 42,000+ star awesome-claude-code GitHub repository, covering Skills, Hooks, Slash Commands, Agent Orchestrators and more to help developers master the Claude Code ecosystem.
TutorialsDeep analysis of the 50K-star GitHub project claude-code-best-practice, covering the transition from Vibe Coding to Agentic Engineering with frameworks for context engineering, task orchestration, and iterative development.
TutorialsA practical guide to building AI Agents with Spring Boot 3, Java 21, and Spring AI — covering RAG, Tool Calling, MCP protocol, and ReAct pattern with the yu-ai-agent open-source project.
Deep DivesDeep analysis of Ruflo open-source multi-agent orchestration platform, covering swarm intelligence, RAG integration, Claude Code native support, and comparisons with LangGraph and CrewAI.
Product ReviewsDeep dive into Chatbox, an open-source AI desktop client with nearly 40K GitHub Stars. Supports multi-model switching via API (OpenAI, Claude, etc.) with local data storage for privacy-conscious users.
Product ReviewsDeep dive into the GitHub project awesome-LLM-resources (8200+ stars): a comprehensive guide covering multimodal AI, AI Agents, MCP protocol, model training, inference optimization, and small language models.
ResearchAnthropic research finds Claude's sycophancy rate hits 38% on spiritual topics, far exceeding the 9% baseline. Analysis of AI people-pleasing causes, RLHF bias, and impacts on safety.
TutorialsSimon Willison used Claude Code's web version on his phone to add iNaturalist wildlife observation sync to his blog, going from prototype to production in just two days.
TutorialsSimon Willison built an iNaturalist display tool on his phone while camping using Claude Code, with a zero-cost serverless architecture of Python CLI + Git Scraping + static frontend.
TutorialsCodex CLI 0.128.0 adds the /goal command for goal-driven autonomous loop execution. This article analyzes its technical implementation, token budget mechanism, and practical use cases.
Deep DivesDeep analysis of the 58K-Star open-source project learn-claude-code: building a Claude Code-like programming agent from scratch. Deconstruct the Agent Harness, ReAct loop pattern, and Bash execution layer.
Product ReviewsDeep analysis of DeepSeek's awesome-deepseek-integration with 37,000+ Stars: integration ecosystem, core value, developer onboarding guide, and future trends for connecting DeepSeek API to mainstream workflows.
TutorialsOllama is an open-source tool with 170K+ GitHub Stars for running DeepSeek, Qwen, Gemma and other LLMs locally. Learn installation, supported models, use cases and core advantages.
ResearchAnthropic research finds Claude's sycophancy rate hits 38% on spirituality topics, far exceeding the 9% overall rate. Analysis of AI people-pleasing behavior distribution, RLHF training biases, and implications for AI safety.