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Industry InsightsDeep analysis of Claude Code's open-source architecture: six core design principles including dual-loop mechanism, seven-step tool pipeline, four-layer token compression, multi-agent collaboration, and memory systems.
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.
TutorialsTesting Hermes agent coordinating DeepSeek V4 and MiniMax 2.7 for collaborative coding: PDF export in 9 minutes, RSS service built from scratch in Nim language.
TutorialsA systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
Expert OpinionsAgent engineer salary gaps hinge on two dividing lines: real production deployment experience and depth of foundational theory including deep learning, fine-tuning, and reinforcement learning.
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.
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.
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.
Product ReviewsRuflo is an open-source multi-agent orchestration platform that upgrades single-threaded Claude Code into a distributed AI dev team with 100+ specialized Agents and a SANA self-learning engine.
TutorialsLearn how to build a multi-Agent collaborative system with CrewAI and FastAPI. Covers Agent, Task, Crew concepts, GPT/Tongyi Qianwen/Ollama integration, with complete code examples and model comparisons.
TutorialsA detailed guide on deploying WenzAgent, an open-source multi-Agent management framework under Apache License, supporting LAN-based multi-device AI agent collaboration with Server-Client architecture.
TutorialsLearn how to split AI Agent capabilities into four modules—Tool Registry, Message Store, Agent Runtime, and Built-in Tools—and build a reusable, extensible Agent framework using Python decorators.
TutorialsA detailed three-month AI Agent learning roadmap covering LLM basics, ReAct paradigm, LangChain, memory mechanisms, tool calling, and multi-agent collaboration with practical project suggestions.
Tech FrontiersMeta Superintelligence Labs releases Muse Spark, a native multimodal reasoning model supporting visual chain of thought, tool-use, and multi-agent orchestration. Deep dive into its capabilities and competitive positioning.
TutorialsExplore the three stages of AI programming evolution: from Prompt Engineering to Context Engineering to Harness Engineering. Master enterprise-grade AI coding with Cloud Code + VS Code.
Tech FrontiersThis week's tech roundup analyzes OpenAI's Swarm Agent framework, Anthropic's Claude data visualization app, Kali Linux, Unikraft lightweight OS, and Go Blueprint — covering AI, security, and cloud computing.