#multi-Agent workflow
1067 related articles
Tutorials·3 min
Implementing LangGraph in TypeScript: Deconstructing the Core Principles of AI Agent Frameworks from Scratch
Learn how to implement LangGraph's core design from scratch in TypeScript, covering state-graph-driven architecture, node-based orchestration, and the ReAct pattern for AI Agent development.
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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·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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Tech Frontiers·2 min
Claude Code Web Launch: Parallel Programming and Haiku 4.5 Multi-Model Collaboration in Practice
Anthropic launches Claude Code Web with browser and mobile coding, plus Haiku 4.5 at 1/3 the cost of flagship models. Parallel tasks, multi-model collaboration, and seamless cloud-to-local workflows.
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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·3 min
Claude Haiku 4.5 In-Depth Review: Twice the Speed, But Can It Replace Sonnet?
Independent developer benchmarks Claude Haiku 4.5 vs Sonnet in agentic coding using a multi-agent monitoring system, revealing speed gains, precision gaps, and the optimal model hierarchy strategy.
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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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Tech Frontiers·2 min
Claude Haiku 4.5 Deep Dive: The Cost-Performance Champion with 2x Speed and 66% Lower Cost
Deep dive into Anthropic's Claude Haiku 4.5: a lightweight AI model with nearly 2x speed, 66% lower cost, and multi-agent support—ideal for developers seeking performance at scale.
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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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Tutorials·4 min
Vibe Coding Practical Guide: SDD Methodology Explained with 4 Enterprise-Level AI Programming Projects
Deep dive into SDD specification-driven development methodology with 4 enterprise-level Vibe Coding projects including Chat BI and multimodal knowledge bases, covering Cursor, Claude Code, and Prompt Engineering.
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Tutorials·3 min
Building an AI Workstation: A Layered Tool Strategy and Physical Isolation Guide
A practical guide to building an AI workstation: physical isolation with vertical screens, pyramid tool layering (Doubao/Trae/Claude/GPT-4), and real Token cost breakdowns to maximize AI workflow efficiency on a budget.
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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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Product Reviews·3 min
Claude Code Agent Views Hands-On: Parallel Development Experience & Pitfall Guide
Hands-on review of Claude Code Agent Views parallel development: cross-project parallel, Git Worktree multi-branch workflows, Space compact mode, plus key caveats on rate limits and Worktree merging.
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Tutorials·3 min
Jules MCP Server: Using the MCP Protocol to Let Claude Orchestrate Google Jules for Autonomous Coding
Jules MCP Server is an open-source project providing a production-grade MCP server for Google Jules API, enabling Claude and Cursor to orchestrate autonomous coding via multi-Agent collaboration.
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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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Deep Dives·3 min
MCP Protocol Explained in 3 Minutes: The USB-C Standard for AI
A clear breakdown of MCP (Model Context Protocol): its core concepts, three standard primitives, real-world use cases, and ecosystem status. Learn how Anthropic's open-source unified tool integration standard is changing AI development.
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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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