#multi-agent
362 related articles
Product Reviews·3 min
Claude Code 2.1 Deep Dive: Hooks Automation, MCP Ecosystem & Multi-Agent Collaboration Fully Explained
Full 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.
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Tutorials·3 min
Claude Code Hooks Explained: Build Your Own Automated Development Inspector
Deep 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.
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Tutorials·3 min
OpenClaw + Claude Code Token-Saving Guide: Zero-Polling with Hooks Callbacks
How 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.
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Tutorials·3 min
Can You Really Transition to AI/LLM in Three Months? A Deep Dive into the Learning Roadmap
Deep 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.
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Deep Dives·4 min
Can AI Agents Replace a Development Team? A Practical Guide for Non-Technical People
Can 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.
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Product Reviews·3 min
Mavis Hands-On Review: Multi-Agent Collaboration vs. Single Agent — A Comprehensive Comparison in Academic Research and Web Development
In-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.
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Tutorials·3 min
Gemini CLI Complete Guide: MCP Extensions & Memory Files in Practice
Complete guide to Google Gemini CLI setup, MCP Server extensions, and memory files. Covers 1M token context analysis, Context7 docs, Taskmaster task breakdown, and more.
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Tutorials·3 min
OpenClaw Advanced Guide: Model Selection, Memory Restructuring & Gateway Auto-Repair
Deep 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.
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Tech Frontiers·3 min
Claude Code Source Code Leak: Full Roadmap for Opus 4.7 and Mythos 5 Exposed
Anthropic 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.
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Deep Dives
Deep Dive into Cursor Skills: From Fun…
·4 min
Deep Dive into Cursor Skills: From Function Call to Practice
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.
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Industry Insights·2 min
The AI Market Is Expanding Rapidly: Why a Growing Pie Matters More Than Fighting Over Slices
The 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.
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Tutorials
Is Context Engineering the Core of Age…
·2 min
Is Context Engineering the Core of Agent Development? A Deep Dive into a High-Frequency Interview Question
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.
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Tech Frontiers
AI Weekly: Claude Code Review, Gemma 4…
·3 min
AI Weekly: Claude Code Review, Gemma 4 Leak & DeepSeek V4 Delayed
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.
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Product Reviews
Comprehensive Review of 10 Mainstream …
·4 min
Comprehensive Review of 10 Mainstream AI Coding Tools: How to Choose from Cursor to Claude Code
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.
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Tutorials
Vibe Engineering in Practice: AI Evolv…
·3 min
Vibe Engineering in Practice: AI Evolves from Code Generator to Programming Teammate
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.
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Industry Insights
Qoder's Context Engineering in Practic…
·4 min
Qoder's Context Engineering in Practice: Four-Layer Retrieval Engine and Memory System Architecture
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.
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Product Reviews
Ruflo: A Multi-Agent Orchestration Sol…
·3 min
Ruflo: A Multi-Agent Orchestration Solution That Turns Claude Code into a 100-Person AI Team
Ruflo 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.
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Product Reviews
Agent Memory: Giving AI Coding Agents …
·2 min
Agent Memory: Giving AI Coding Agents Persistent Memory Across Sessions
Agent Memory is an open-source local memory layer providing persistent, cross-session, cross-tool long-term memory for AI coding agents like Claude Code, Cursor, and Codex.
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Product Reviews
Cursor Composer 2.5 Hands-On: An AI Co…
·2 min
Cursor Composer 2.5 Hands-On: An AI Coding Model That's Faster and 10x Cheaper
Hands-on review of Cursor Composer 2.5's Agent view, Plan mode, and right panel features. Coding ability matches Claude and GPT top models at up to 10x lower cost with significantly faster speed.
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Tutorials
35 Lines of Prompts Let Codex Auto-Opt…
·3 min
35 Lines of Prompts Let Codex Auto-Optimize Your Workflow — Reposted by OpenAI's President
An OpenAI employee used just 35 lines of prompts to have Codex analyze 30 days of work history, identify repetitive tasks, and generate reusable automated Skills. Combined with screen reading and long-term memory, Codex is becoming a proactive workflow optimization agent.
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