#distributed AI agents
830 related articles
Tutorials·2 min
5 Fatal AI Agent Failure Modes: A Practical Guide to Safe Architecture Design
Deep dive into 5 fatal AI Agent failure modes: infinite loops, tool hallucination, context explosion, error cascades, and permission escalation — with practical safety architecture solutions.
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Product Reviews·3 min
Herdr: Multi-Agent Terminal Management Tool for Effortlessly Managing Claude Code/Codex Multitasking
Herdr is a terminal management tool designed for AI Agents, supporting visual tracking and free switching between Claude Code, Codex, Aider and more, with remote management and mobile support.
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Product Reviews·2 min
Google Jules Hands-On Review: Testing the Real Capabilities and Limitations of This AI Coding Agent with a Java Project
In-depth testing of Google Jules AI coding agent with a real Java backend project, revealing code generation quality, hallucination issues, and capability boundaries.
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Expert Opinions·3 min
Claude Code Creator Shares 3 Battle-Tested Tips: Treat AI Like a Team
Claude Code creator Boris Cherny shares 3 power tips: parallel multitasking, Loop execution, and self-verification feedback loops. Transform your AI from a passive tool into a 24/7 automated dev team.
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Deep Dives·3 min
Should AI Output Markdown or HTML? Two Dimensions to Help You Choose Quickly
Should AI output Markdown or HTML? This article provides a clear format selection framework using two dimensions—content maintenance lifecycle and reading comprehension efficiency—with practical scenarios and a comparison table.
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Tutorials·4 min
AI Agent Memory Architecture Design: Four-Layer Partitioning + Bitemporal Modeling Practical Guide
A deep dive into production-grade AI Agent memory architecture covering four-layer partitioning, bitemporal modeling, and skill extraction to eliminate hallucinations and historical amnesia.
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Tutorials·4 min
Claude Opus 4.5 Tutorial: Real-World Coding Tests + How to Access from China Without a VPN
Hands-on review of Claude Opus 4.5's coding, writing, and data visualization capabilities. Includes two methods for accessing it from China without a VPN, plus real demos of bug fixing and dashboard development.
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Tutorials·2 min
Linear + Claude Code in Practice: Let AI Autonomously Complete 90 Development Tasks
Deep dive into Linear and Claude Code integration for autonomous AI development: auto-planning 90 tasks, multi-agent parallel coding, and complete workflow tutorial.
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Tutorials·1 min
LangGraph 1.0.5 Tutorial: Master AI Agent Orchestration & Multi-Agent Systems in Six Lessons
Complete guide to LangGraph 1.0.5 tutorial series covering durable execution, memory management, Human in the Loop, streaming, time travel, and multi-agent collaboration.
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Product Reviews·2 min
Qoder 1.0 In-Depth Review: How Good Is This AI Autonomous Coding Platform Really?
In-depth review of Alibaba's Qoder 1.0: Quest task units, Multi-Agent expert teams, Knowledge Engine, and comparison with Codex, Claude Code, and other competitors.
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Deep Dives·2 min
Hermes Agent: Complete Breakdown of 87 Built-in Skills — 7-Layer Architecture & Priority Guide
Deep dive into Hermes Agent V0.13.0's 87 Built-in Skills reorganized into 7 functional layers with priority guidance. Find the 17 core Skills worth learning first.
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Deep Dives·3 min
The Essence of AI Alignment: Aligning What to Do, Not How to Do It
The core of AI alignment is aligning What to do, not How to do. Through an Alembic database migration case, learn how Harness engineering crystallizes dev standards into reusable assets for automated programming.
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Deep Dives·4 min
AI Agent Skill Architecture Breakdown: Decision Layer + Encapsulation Layer + Execution Layer Practical Guide
Deep breakdown of AI Agent Skill's three-layer architecture: decision layer dynamic routing, encapsulation layer SOP standardization, and execution layer state machine self-healing, with practical solutions for context explosion, error recovery, and generality balance.
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Tutorials·3 min
AI Agent Context Management in Practice: A Complete Guide from Death Loops to Intelligent Truncation
Deep dive into AI Agent context management: a three-step strategy from naive truncation to intelligent memory, covering sub-Agent architecture and long session evals to solve LLM context bloat.
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Deep Dives·4 min
How Dangerous Are Windsurf Account-Switching Plugins? A Deep Dive into Technical Principles and Security Risks
Deep analysis of Windsurf seamless account-switching plugin's technical implementation, revealing risks of account bans, code theft, and legal liability. Four compliant alternatives for developers.
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Tutorials·4 min
Langmanus Multi-Agent Framework Deep Dive: Architecture Principles and Agent Extension in Practice
Deep dive into Langmanus multi-agent framework architecture, explaining LangGraph orchestration with Coordinator, Planner, Supervisor and execution agents, plus a hands-on guide to adding custom agents.
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Product Reviews·5 min
Manus vs Google Deep Research vs Flowith: A Hands-On Comparison of AI Agents for Courseware Generation
Hands-on comparison of Manus, Google Deep Research, and Flowith generating Kafka courseware with the same prompt. Detailed scoring reveals which AI agent delivers the best results.
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Product Reviews·3 min
Manus Review: A Deep Dive Comparing It to MetaGPT to Reveal the True Capabilities of This AI Agent
A deep review of Manus AI Agent across technology, product, and marketing dimensions, compared with MetaGPT. Core capabilities overlap by 90%+. Is it innovation or packaging?
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Product Reviews·4 min
Manus Hands-On Review: One Prompt to Build a Snake Game — What AI Agents Can Really Do
Hands-on Manus AI Agent review: generate a playable Snake game and physics animation site with one prompt. Covers registration, how it differs from ChatGPT, cloud execution, and current limitations.
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Industry Insights·3 min
Deep Analysis of the AI Coding Landscape: Why Context Determines the Fate of Cursor, Windsurf, and Their Peers
Deep analysis of the AI coding sector: from GitHub Copilot to Cursor's $10B valuation, why context is the core moat, and how startups compete with tech giants.
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