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TutorialsReal case study showing Claude Code's efficient dev workflow: four-part prompt template, three-round iterative fixes, code review methods, and decision frameworks to save 60% coding time.
TutorialsBuild a Gomoku game with Claude Code: learn three working modes, the development workflow, and core anti-degradation tips using Compact/Clear commands and context monitoring plugins.
TutorialsDeep dive into Claude Code Hooks: why CLAUDE.md rules fail and how PreCommand, PostCommand, and Stop Hooks provide a reliable safety net through on-demand context injection.
TutorialsDeep dive into Claude Code Hooks: why CLAUDE.md rules fail, and how PreCommand blocking, PostCommand reminders, and Stop Hooks form a reliable AI behavior constraint system.
Deep DivesDeep analysis of how multi-agent architecture solves AI hallucination. From context rot to adversarial debate mechanisms, see how Anthropic, xAI, and Kimi reduce hallucination rates from 12% to 4.2%.
TutorialsComplete guide to WeChat Mini Program login/registration full-stack integration, covering SDK splitting, Pixso design-to-component workflow, debugging techniques, and AI-assisted programming collaboration methods.
ResearchDeep analysis of Claude Code's open-source architecture: dual-loop design, 7-step tool pipeline, 4-layer token compression, memory systems, and multi-agent collaboration patterns.
Product ReviewsDeep dive into OpenSwarm, an open-source multi-agent system where 8 specialized agents collaborate to generate complete deliverables—research, charts, slides—from a single prompt.
TutorialsDeep dive into Coze's Skill feature: progressive disclosure concepts, practical cases in comic generation and contract review, two creation methods, and layered SOP design principles.
Engineering Practices That Boosted Cla…
How Hooks+Skills+Commands+Agents work together in Claude Code to boost AI skill activation from 25% to 90%, with core config files and deployment guide.
TutorialsDeep dive into Claude Code's five-layer extension architecture: Claude.md memory, Skills, MCP services, Subagents, and Hooks. Master the Rule of Three and golden combinations to systematically boost AI coding efficiency.
Product ReviewsIn-depth review of Mavis multi-agent platform across academic retrieval, literature review, and web development. Multi-agent mode significantly outperforms single agents in accuracy and reliability.
Spring AI + MCP Protocol in Practice: …
Deep dive into Spring AI and MCP protocol integration, covering tool calling, OAuth security, horizontal scaling, and context optimization for enterprise AI Agent services.
Deep Dive into Cursor Skills: From Fun…
Deep dive into Cursor Skills' underlying principles, from Function Call and MCP protocol to Workflow Agent, with Spring AI Alibaba practical demo for any LLM.
7 Official Best Practices for Claude C…
Anthropic's official Claude Code best practices: 7 core tips covering self-review, plan mode, precise instructions, CLAUDE.md, reverse interviews, session cleanup, and multi-session parallelism.
Is Context Engineering the Core of Age…
Deep dive into a top LLM interview question: Is context engineering the core of Agent development? Covers five context modules, four pain points, and advanced solutions.
CodeRAG Technical Deep Dive: Four Core…
Deep dive into CodeRAG's four core technologies: vector similarity search, file system tools, Code Knowledge Graph (CKG), and DeepWiki — how they work together to help AI coding assistants truly understand enterprise codebases and eliminate hallucinations.
Qoder's Context Engineering in Practic…
Deep analysis of Qoder's (Tongyi Lingma international edition) context engineering architecture, including its four-layer retrieval engine, memory engine, context caching, and core product design.
Deep Dive into Qwen3.7 Max: One-Tenth …
Alibaba's Qwen3.7 Max targets AI agents with coding tasks at just $1.30 (one-tenth of GPT-5), supporting 35 hours of continuous execution. Deep analysis of its cost advantages, front-end capabilities, and three key limitations.
Claude Code Source Code Study Guide: E…
Learn AI Agent development from Claude Code's 510K lines of source code, covering Agent Loop, context compression, multi-Agent orchestration, and two efficient study methods.