#multi-agent debate
96 related articles
·7 min
Demystifying Claude Code's Harness in 60 Lines of Python: The Core of AI Coding Tool Performance Differences
The same model scores 77% in Claude Code but jumps to 93% in Cursor—the only variable is the Harness. This article dissects how AI coding tools work in 60 lines of Python.
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·7 min
The Agent Engineer Transition Roadmap: A Deep Dive into Three Core Skill Systems
Want to become an Agent engineer? This article systematically covers three core skill tracks—LLM fundamentals, LangChain architecture development, and enterprise deployment—to help you avoid detours.
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·7 min
Sakana Fugu vs GLM 5.2 Hands-On Test: Who Can Truly Challenge Top-Tier AI Models?
A head-to-head hands-on test of Sakana Fugu vs GLM 5.2 based on real Hermes agent workflows. Covering tool calling, frontend generation, and code improvement to reveal each model's true performance, speed, and value.
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·5 min
Embedded Linux vs. AI Agent Development: A Comprehensive Comparison of Salary, Job Availability, and Career Stability
Embedded Linux or AI Agent development? This in-depth comparison covers salary, job availability, and career stability to help developers pick the right path.
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·7 min
6 Core Standards of a High-Value Agent Project That Impress Interviewers
Most Agent projects lack competitiveness in interviews due to missing business value and engineering depth. This article breaks down the 6 core standards of high-value Agent projects.
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·4 min
Getting Started with AI Agent Development: Core Mindset and Learning Path for Beginners
Intimidated by AI Agent development? This article breaks down the two biggest beginner pain points and reveals why the real skill isn't memorizing APIs, but mastering requirement decomposition, workflow design, and problem-solving.
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·4 min
AI Agent: A Complete 6-Week Learning Roadmap from Beginner to Production
A complete 6-week AI Agent learning roadmap covering core architecture (planning/memory/tool use), the ReAct paradigm, multi-agent collaboration, RAG integration, and production deployment.
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·3 min
The 7-Level Claude Code Mastery Guide: From Basic Chat to Autonomous AI Agents
From chat to autonomous agents: a 7-level Claude Code mastery guide covering model selection, effective prompting, tool integration, sub-agents, skills, safety, and autonomous operation.
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·6 min
A Beginner's Guide to AI Agents: How Large Models Are Driving a New Computing Revolution
What is an AI Agent? This article systematically explains the core architecture of AI agents (LLM + Planning + Memory + Tools), how they differ from ChatGPT, their combination with robots, and why developers must master Agent development skills.
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·7 min
Electron + LangGraph in Practice: Building an AI Agent Visual Orchestration App from Scratch
A hands-on guide to building an enterprise-grade AI Agent workflow orchestration app with Electron Forge and LangGraph, covering local LLM deployment (Qwen3-0.6B), node-based visual canvas design, and full Function Calling integration.
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·6 min
AI Agent Learning Roadmap: A Four-Stage Guide from Beginner to Practical Mastery
A systematic AI Agent learning roadmap in four progressive stages: fundamentals → ReAct core paradigm → memory & tools → multi-agent collaboration. Master LangChain, AutoGen, and more, growing from beginner to practical developer in three months.
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·6 min
Does AI Adoption Actually Lead to More Hiring? Explaining This Counterintuitive Phenomenon
Growing data shows companies aggressively adopting AI are actually hiring more. This article explores the overlooked complex relationship between AI and employment through the Jevons Paradox, new job creation, and competitive divergence.
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The Rise of Autonomous AI Research: Ef…
·2 min
The Rise of Autonomous AI Research: Efficiency Gains vs. the Battle for Human Control
At AIEWF, the vision of autonomous AI research sparked fierce debate. Can AI complete a full research loop independently? Experts defend human understanding and control, revealing the core tension between automation efficiency and human agency.
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·4 min
Coze for Beginners: A Complete Guide to ByteDance's AI Application Development Platform
A complete guide to ByteDance's Coze platform: agents, AI apps, workflows, nodes, and plugins explained. Build AI applications with no coding required.
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·7 min
Agent Loop Explained: The Core Runtime Mechanism and Think-Act Cycle of AI Agents
Deep dive into Agent Loop mechanics: the think-act cycle, how agents differ from LLMs, termination conditions, and design principles for building autonomous AI Agent systems.
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·7 min
AI Agent Practical Guide: The Complete Path from Building to Production Deployment
A deep dive into AI Agent architecture and engineering practices, covering tool design, ReAct execution patterns, Vercel deployment, and production considerations to bridge the prototype-to-production gap.
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Tech Frontiers·4 min
Claude Slack Agent Upgrade: Multiplayer Collaboration, Proactive Responses, and Persistent Memory Explained
Anthropic upgrades Claude's Slack integration with multiplayer collaboration, proactive responses, and persistent memory — transforming AI from a passive tool into a true team partner.
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·3 min
Claude Fable 5 Deep Dive: An AI That Works 9 Hours Straight — Are Programmers Really Being Replaced?
Deep analysis of Anthropic's Claude Fable 5: derived from the ultra-powerful internal model Methos, scoring 80.3 on SWE Bench Pro crushing GPT 5.5, tested working autonomously for 9.5 hours straight.
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·4 min
Kimi Agent Cluster in Practice: One Person Commanding 300 AIs to Collaboratively Build a Website
Deep dive into Kimi Work Agent cluster's three collaboration architectures, with a hands-on demo of 300 AI agents building a website in parallel, covering requirements breakdown, multi-Agent coding, and auto-deployment.
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·4 min
AI Agent Development Learning Roadmap: A Complete Four-Stage Plan from Zero to Production
A systematic AI Agent development learning roadmap covering LLM fundamentals, ReAct paradigm, memory & tool calling, and multi-agent collaboration across four stages with project suggestions.
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