#multi-agent optimization
606 related articles
Tutorials·3 min
LangGraph Multi-Agent in Practice: Building a Medical Agent System from Scratch
A deep dive into LangGraph multi-agent architecture for healthcare, covering LangChain, RAG, and MCP integration, from requirements analysis to Agent orchestration.
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Product Reviews·3 min
GitHub 8K Stars: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep analysis of the GitHub project awesome-LLM-resources covering multimodal generation, AI Agents, MCP protocol, model training/inference, o1 models, and SLMs—a community-verified 8200+ Star LLM learning resource hub.
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Deep Dives·4 min
The Agentic AI Explosion: A Complete Guide to the Paradigm Shift from Generative to Agentic AI in 2026
In 2026, the AI industry shifts from generative to Agentic AI. Deep dive into GPT-5.5 agent capabilities, Claude's autonomous learning, Physical AI deployment, DeepSeek V4, inference optimization, and the global AI competition landscape.
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Product Reviews·4 min
HIX AI Full Review: Is the All-in-One AI Presentation, Video & Image Generator Actually Good?
Full hands-on review of HIX AI's all-in-one AI Agent platform covering AI presentations, Seedance 2.0 video generation, 4K image creation, and integration of top models like GPT-5.4 Pro and Sora 2 Pro.
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Research·4 min
Continual Harness: AI Automatically Builds Scaffolding to Beat Pokémon RPGs
Princeton and Google DeepMind propose Continual Harness, enabling LLM agents to automatically build and optimize scaffolding to beat multiple Pokémon RPGs without human intervention, cutting costs by 40%.
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Product Reviews·3 min
Vibe-Kanban: An Open-Source Platform for Unified Orchestration of AI Coding Agents Like Claude Code and Gemini CLI
Vibe-Kanban is an open-source AI coding agent orchestration platform supporting parallel task processing with Claude Code, Gemini CLI, and AMP via kanban tracking and centralized MCP configuration.
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Tutorials·4 min
2025 LLM Career Transition Roadmap: A Three-Phase Plan from Foundations → Frameworks → Real-World Projects
A systematic 2025 LLM career transition roadmap covering Python, Transformers, LangChain, LlamaIndex, RAG, Agent development, and fine-tuning across three phases achievable in 2-3 months.
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Product Reviews·4 min
Complete Guide to iFlow CLI: A Free AI Coding Terminal Tool Put to the Test
A detailed guide to iFlow CLI, a free AI coding terminal tool covering installation, four working modes, Subagent, MCP features, and cost-saving strategies with Claude Code/Cursor to cut AI coding expenses by 50%+.
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Expert Opinions·3 min
From WeChat Codex to AI Agent Best Practices: A Developer's Pivot
After completing core WeChat-Codex integration, the Codex Bridge author validated three directions and pivoted to AI Agent best practices—sharing product thinking and methodology insights.
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Tutorials·4 min
Vibe Coding Practical Guide: SDD (Specification-Driven Development) Reshaping Full-Stack Programming Workflows
In-depth analysis of SDD (Specification-Driven Development), the core methodology of Vibe Coding in 2025, covering the full workflow from requirements to deployment with tools like Claude Code.
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Product Reviews·4 min
Kimi K2 Thinking Hands-On Review: Can It Replace Sonnet 4.5 in Claude Code?
Hands-on testing Kimi K2 Thinking in Claude Code across text creation, programming, agent building, and full-stack apps. Comparing it to Claude Sonnet 4.5 and DeepSeek as a cost-effective AI coding alternative.
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Product Reviews·3 min
Claude Code 2.0 Review: Rewind Rollback, Usage Monitoring, and Other Practical New Features
In-depth review of Claude Code 2.0's three core features: Usage monitoring, Rewind code rollback, and Ctrl+R prompt search, plus Sonnet 4.5 model and VS Code extension insights.
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Product Reviews·3 min
Claude Haiku 4.5 Review: Sonnet 4-Level Coding at 1% of the Cost
In-depth review of Claude Haiku 4.5: 73.3% on SWE-bench rivaling Sonnet 4, input at just $1/million tokens. Covers code generation, agentic coding, SVG tests, and Sonnet+Haiku collaboration strategies.
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Product Reviews·2 min
Claude Haiku 4.5 In-Depth Review: One-Third the Cost, Coding Performance Rivaling Sonnet 4
Anthropic releases Claude Haiku 4.5: coding rivaling Sonnet 4 at 1/3 the cost and 2x speed. A dev built browser-based macOS for just 28 cents, redefining small AI model capabilities.
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Tutorials·3 min
51.8K Stars! Claude Code Best Practices: A Complete Guide from Getting Started to Agent Engineering
Deep dive into the 51.8K Star Claude Code best practices project on GitHub, covering Prompt Engineering, efficient Web Coding, multi-Agent collaboration, and more.
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Expert Opinions·4 min
Is CI/CD Dead? The Continuous Computation Architecture Revolution in the AI Agent Era
Traditional CI/CD pipelines are being shattered by AI Agents. This article analyzes the shift from PR-driven to intent-driven architecture, exploring Pre-Merge queues, stateful environments, and multiverse development as new continuous computation paradigms.
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Tutorials·4 min
Claude Code Installation Guide: From Zero Setup to Multi-Agent Collaboration in Practice
Complete Claude Code installation guide covering environment setup, one-command install, troubleshooting, cost-saving alternatives, and multi-Agent collaboration tips for beginners.
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Tutorials·4 min
Complete Guide to Agent Observability: Tracing, Evaluation, and Red Teaming in Practice
Deep dive into Microsoft Foundry's Agent observability solution covering multi-Agent tracing, AI quality evaluation, Red Teaming security testing, and automated prompt optimization to bridge the gap between expected and actual Agent behavior.
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Tutorials·4 min
Browser Use Tutorial: AI Browser Automation Agent Installation, Configuration & Practical Guide
Complete guide to Browser Use, the open-source AI browser automation agent: installation, Web UI usage, code integration, architecture, and token optimization tips for automating web tasks with natural language.
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Tutorials·3 min
AI Agent Learning Roadmap: A Complete Guide from LangChain to Enterprise Deployment
In-depth analysis of the popular GitHub project ai-agents-from-zero, covering LangChain, LangGraph, RAG, MCP and more, with a complete learning path from beginner to enterprise AI Agent development.
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