#Multi-Agent
258 related articles
Product Reviews
Dyad: A Free, Open-Source AI Full-Stac…
·2 min
Dyad: A Free, Open-Source AI Full-Stack Builder — An In-Depth Look at This Lovable Alternative
In-depth review of Dyad, an open-source AI full-stack builder. Supports local execution, multiple AI models, and component-level editing. A free, privacy-first alternative to Lovable and Bolt.new.
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Tutorials
CrewAI Multi-Agent Collaboration in Pr…
·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
Practical Guide to Building Multi-Agen…
·3 min
Practical Guide to Building Multi-Agent Collaborative Applications with CrewAI + FastAPI
Learn 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.
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Tutorials
WenzAgent Open-Source Framework: A Pra…
·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
Building an Agent Framework from Scrat…
·2 min
Building an Agent Framework from Scratch: Breaking Down the Four Core Modules with Code Implementation
Learn 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.
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Tutorials
The Complete Guide to Spring AI: A Ful…
·3 min
The Complete Guide to Spring AI: A Full Learning Path for Java Engineers Building AI Applications
A comprehensive guide to Spring AI covering LLM integration, prompt engineering, RAG knowledge bases, and five AI Agent patterns, with three enterprise projects for Java engineers.
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Tutorials
Getting Started with LangChain: Core C…
·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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Tutorials
AI Agent Learning Roadmap: From Beginn…
·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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Tutorials
The Complete Guide to Cursor 2.0: Plan…
·3 min
The Complete Guide to Cursor 2.0: Plan, Agent, and Ask — Three AI Modes Explained
A detailed guide to Cursor 2.0's three AI modes (Plan, Agent, Ask) and core features including inline editing, multi-Agent parallelism, project rules, and version control for efficient AI-powered development.
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Product Reviews
Cursor 2.0-2.3 Core Evolution: AI Prog…
·2 min
Cursor 2.0-2.3 Core Evolution: AI Programming Enters the Era of Fleet Command
Deep dive into Cursor 2.0-2.3: multi-agent parallel programming, auto-evaluation, built-in browser, runtime debugging—pushing developers from coders to AI fleet commanders.
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Product Reviews
Cursor 2.0 In-Depth Review: Five Major…
·3 min
Cursor 2.0 In-Depth Review: Five Major New Features Including Custom Model, Multi-Agent Parallelism, and More
In-depth analysis of Cursor 2.0's five core updates: custom Composer model speed tests, Git Worktrees multi-agent parallel development, built-in browser, and a three-model comparison of Claude, GPT-5, and Composer.
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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
Claude Opus 4.8 Deep Dive: Honesty Mat…
·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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Tutorials
Complete Tutorial: Using GPT to Automa…
·2 min
Complete Tutorial: Using GPT to Automatically Configure Claude Opus 4
Learn how to use GPT's high-intensity thinking mode to automatically configure Claude Opus 4.6/4.7 Max thinking mode in OpenCode, including proxy channel setup, API Key creation, and environment configuration.
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Tutorials
Harness Engineering: A Practical Guide…
·3 min
Harness Engineering: A Practical Guide to AI Programming — From Prompts to Mastery
Explore 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.
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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
Superpowers vs GStack In-Depth Compari…
·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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Tutorials
Cursor Multi-Agent Workflow: A Practic…
·3 min
Cursor Multi-Agent Workflow: A Practical Guide to Main Thread & Grunt Collaboration
Learn the Cursor "Main Thread & Grunt" multi-agent workflow: use a high-tier model for complex tasks and a low-tier model for simple tasks in parallel to maximize AI coding efficiency.
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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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Industry Insights·3 min
AI Agents Deep Dive: The Paradigm Shift from Chat Tools to Autonomous Execution Systems
Deep analysis of AI Agents vs LLMs, covering three evolution stages, four core architecture components, three penetration paths, multi-agent collaboration, and societal impact.
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