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Deep DivesA beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
TutorialsDeep dive into Claude Code 2.0.14's plugin system covering Slash Commands, Sub-agents, MCP integration, and Hooks—with demos on one-click plugin installation and custom code review plugin creation.
TutorialsA detailed guide on ByteDance's Hermes Agent framework covering core features, deployment, custom tool development, and enterprise-grade AI Agent applications.
TutorialsA deep dive into engineering strategies for enterprise Text-to-SQL to break 90% accuracy, covering precise schema retrieval, multi-Agent architecture, self-correction, and AI coding practices.
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 ReviewsFull breakdown of Claude Code 2.1: Opus 4.6 model upgrade, Hooks deterministic automation, Skills multi-agent collaboration, MCP tool chain integration, plus IDE shortcuts and practical commands.
TutorialsDeep dive into Claude Code Hooks' four core use cases: intercepting dangerous operations, auto change logging, code review, and automated testing. Learn Command, Prompt, and Agent Hook types.
TutorialsHow to solve high Token consumption when OpenClaw calls Claude Code. Achieve zero-polling with Stop Hook and Session End dual callbacks, combined with Agent Teams for fully automated dev workflows.
TutorialsDeep dive into a popular 3-month AI/LLM transition roadmap: from Python basics and Prompt engineering to LangChain, RAG, Agents, and hands-on projects, with realistic time estimates and pitfall warnings.
Deep DivesCan non-technical people use AI Agents to build virtual dev teams? From CEO Agent to Developer Agent, we analyze the theory vs. reality and offer a practical implementation guide.
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.
TutorialsComplete guide to Google Gemini CLI setup, MCP Server extensions, and memory files. Covers 1M token context analysis, Context7 docs, Taskmaster task breakdown, and more.
TutorialsDeep dive into OpenClaw advanced techniques: Claude Opus 4.6 vs GPT-5.2 model selection, topic-based memory splitting with LanceDB vectorization, Codex deep search integration, and systemd + Claude Code Gateway auto-repair.
Tech FrontiersAnthropic suffers a major code leak exposing 500K+ lines of Claude Code source, unreleased Opus 4.7, Sonnet 4.8, Mythos 5 models, 44 hidden feature flags, and the full product roadmap.
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.
Industry InsightsThe global AI market is expanding at a CAGR exceeding 35%, creating new demand across nearly every segment. This article analyzes the core logic of AI's expanding market and key takeaways for practitioners and investors.
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.
AI Weekly: Claude Code Review, Gemma 4…
Weekly AI roundup: Anthropic launches Claude Code review, Google Gemma 4 leaks with MoE architecture, DeepSeek V4 delayed again, Microsoft Copilot Cowork reshapes collaboration, and OpenAI acquires PromptFool.
Comprehensive Review of 10 Mainstream …
In-depth comparison of 10 AI coding tools including GitHub Copilot, Cursor, Claude Code, and Windsurf, analyzed across features, target users, and pricing to help developers choose the right AI assistant.
Vibe Engineering in Practice: AI Evolv…
A deep dive into Vibe Engineering principles: context engineering, sub-agent collaboration, autonomous testing loops, plus OpenAI's case study of a 12-hour Kotlin-to-Rust rewrite.