#agent orchestration
1502 related articles
Tutorials·2 min
LangGraph 0.5.3 + MCP Agent Development in Practice: Security Authentication & Deployment Guide
LangGraph 0.5.3 introduces MCP server security authentication and agent deployment solutions. Combined with Qwen3 models, it provides a complete production-grade AI agent development stack.
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Tutorials·3 min
AI Agent Practical Development: A Complete Guide from Concept to Building Production-Grade Intelligent Agents
A deep dive into AI Agent core principles and practical development paths, covering perception-decision-execution capabilities, MCP protocol tool integration, and analysis of Manus and AutoGLM.
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Tutorials·2 min
Zen MCP: An Open-Source Tool That Lets Claude Orchestrate Multiple AI Models in Collaboration
Deep dive into Zen MCP, an open-source project that lets Claude Code orchestrate Gemini, O3, and other AI models via MCP protocol, with cost-reduction proxy setup guide.
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Product Reviews·3 min
Gemini 2.5 Pro 0605 Hands-On Comparison with o3 and Claude Opus 4: Full Evaluation Across Coding, Reasoning, and Writing
Hands-on testing of Gemini 2.5 Pro 0605 across coding, reasoning, creative writing, and app development, compared head-to-head with OpenAI o3 and Claude Opus 4.
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Tutorials·3 min
Building a SaaS Website with AI and Zero Code: A Complete Bolt + Cursor Walkthrough
Learn how to build a SaaS website with AI image generation, multimodal chat, and webpage replication using only Bolt and Cursor — no code required. Covers prompt design, architecture, and iteration techniques.
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Tutorials·2 min
CrewAI Multi-Agent Collaboration in Practice: Core Concepts, Model Comparison & API Deployment
A deep dive into CrewAI's four core concepts for multi-agent collaboration, with hands-on FastAPI deployment and a comparison of GPT-4o-mini, Qwen MAX, and Llama 3.1.
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Tutorials·2 min
WenzAgent Open-Source Framework: A Practical Tutorial for Multi-Agent Collaborative Management on LAN
A 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.
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Tutorials·3 min
Getting Started with LangChain: Core Concepts and Hands-On Guide for LLM and Agent Development
A systematic guide to LangChain's core features, covering LLM vs. Agent concepts, unified interface design, multi-provider support, environment setup, and hands-on code examples for AI app development.
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Industry Insights·3 min
Endava Builds an Agentic Organization with Codex: Requirements Analysis Compressed from Weeks to Hours
Global IT services firm Endava uses OpenAI Codex to build an Agentic Organization, compressing requirements analysis from weeks to hours. A deep dive into AI-driven software delivery transformation.
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Tutorials·3 min
AI Agent Learning Roadmap: From Beginner to Enterprise-Level Development in Three Months
A 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.
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Tech Frontiers·2 min
Meta Muse Spark Released: A Comprehensive Analysis of the Native Multimodal Reasoning Model
Meta 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.
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Tech Frontiers·2 min
Claude Opus 4.8 Deep Dive: Honesty Matters More Than Benchmarks
Claude Opus 4.8 core upgrade: code bug oversight rate reduced 4x, model becomes more honest. Covers Dynamic Workflows parallel orchestration, Claude Code quota reset, effort control, and upcoming Miscells model.
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Industry Insights·3 min
Warp Bets on GPT-5.5: How AI Coding Agents Are Reshaping Open-Source Development Workflows
Warp deeply integrates GPT-5.5 to build cross-environment AI coding agents spanning local terminals, cloud deployment, and open-source collaboration. Explore its architecture, open-source strategy, and differentiation from GitHub Copilot.
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Product Reviews·3 min
Superpowers vs GStack In-Depth Comparison: How to Choose Your Claude Code Plugin
In-depth comparison of Claude Code's top open-source plugins Superpowers and GStack — their skills, workflows, and use cases to help developers choose the best AI coding assistant setup.
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Industry Insights·3 min
How Jane Street Built a Custom AI Programming Toolchain for OCaml
Jane Street's AI team details how they built a custom LLM toolchain for OCaml, covering workspace snapshot training data, RL with code evaluation, and the AID editor architecture.
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Product Reviews·3 min
Zenflow Hands-On Review: Spec-Driven AI Coding vs. Pure Prompt-Based Development
In-depth review of Zenflow's spec-driven AI coding vs Google AI Studio's prompt-based approach. Covers multi-agent execution, automated validation, version rollback, and the paradigm shift in AI programming.
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Industry Insights·2 min
Behind the Gemini CLI Explosion: Why the Terminal Is Becoming the Ultimate Gateway for AI Agents
Google's open-source Gemini CLI hit 100K GitHub stars. This article analyzes why the terminal is becoming the ultimate AI Agent gateway through execution chains, infrastructure integration, and more.
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Tutorials·3 min
LangGraph Multi-Agent Architecture: Graph Structure Principles and Enterprise-Level Implementation Guide
Deep dive into LangGraph's core graph structure design, single and multi-agent collaboration patterns, MCP protocol integration, and Time Travel fault-tolerance, with enterprise-level hybrid multi-agent architecture implementation.
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Product Reviews·3 min
Warp 2.0 Deep Dive: An AI Development Environment with Multi-Agent Parallelism
Deep dive into Warp 2.0's Agent Development Environment (ADE): multi-agent parallel orchestration, terminal editor, AI coding platform, hands-on SaaS app building, and comparison with Cursor and Claude Code.
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Tutorials·3 min
LangGraph Multi-Agent Architecture: Core Principles and Enterprise-Level Implementation Guide
Deep dive into LangGraph multi-agent architecture covering Graph structure principles, MCP service integration, Time Travel debugging, and supervised multi-agent enterprise implementation patterns.
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