#cascading failure
158 related articles
·7 min
Harness Engineering: Core Methodology and Practical Guide for Enterprise-Level AI Programming
Can AI really replace programmers? This article explains Harness Engineering principles and its three evolutionary stages, revealing real pain points of enterprise AI programming.
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·4 min
Enterprise AI Agent Development Guide: Multi-Task Recognition and Dynamic Tool Calling in Practice
A deep dive into AI Agent architecture and enterprise deployment. From LangChain and ReAct design to dynamic tool calling and multi-task recognition — build autonomous enterprise AI assistants.
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·6 min
Vibecoding in Practice: Architecture Trade-offs and Implementation of a Dual-Engine TTS Router
Alibaba Cloud vs Volcano Engine TTS: why "I want both" is the mature engineering decision. Dual-engine routing design, priority trap debugging, and vibecoding-powered implementation.
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Hacked Again: The Root Causes of Ameri…
·2 min
Hacked Again: The Root Causes of America's Government Cybersecurity Crisis — and the Way Forward
Why does the U.S. government keep getting hacked? This deep dive covers legacy systems, supply chain risks, Zero Trust architecture, and what breaches mean for citizens.
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·3 min
VibeCoding in Practice: A Field Alignment Methodology Before Migrating Demo to Main Project
VibeCoding best practice: never migrate a Demo directly to your main project. Learn the 3-step field alignment methodology — manual review, AI scanning, and architectural refactor.
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·3 min
Light-Skills: Open-Source Research AI with 28 Skill Modules Covering the Full Workflow
Light-Skills is an MIT-licensed open-source research AI with 28 interconnected Skills, 9 knowledge bases, 317 knowledge cards, and 49 scripts covering the full research workflow — with a hard rule against fabricating citations or data.
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How OpenAI Used Core Dumps to Track Do…
·2 min
How OpenAI Used Core Dumps to Track Down an 18-Year-Old Bug
How OpenAI's engineering team used large-scale core dump analysis and an epidemiological approach to identify a hidden hardware fault and fix an 18-year-old software bug.
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·7 min
Cost Optimization for AI Agent Fleets: Why an Expensive Commander + Cheap Workers Is More Cost-Effective
Deep analysis of multi-agent system cost optimization: why the 'expensive commander + cheap workers' combination outperforms all-frontier fleets, covering decision-intent cost logic and Sonnet 5 tokenizer traps.
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·3 min
Complete Guide to Codex /goal Command: Making AI Execute Long Tasks Without Cutting Corners
Deep dive into OpenAI Codex's /goal slash command: four core mechanisms that prevent AI "fake completion," enforce stop conditions, and support task resumption. Includes full prompt structure and permission configuration for complex automation tasks.
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·4 min
7-Step Framework for Deploying Commercial AI Agents: From Requirements to Production
A detailed 7-step guide to building commercial AI Agents, covering requirements, platform selection (Coze/Dify/FastGPT), prompt engineering, databases, UI, testing, and deployment.
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·3 min
What Are Agent Skills? A Deep Dive into the New Paradigm for AI Agent Decision-Making
Deep dive into Agent Skills: how they solve React Agent pain points through on-demand loading and capability modularization, improving decision precision for production-ready enterprise AI Agents.
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·3 min
AI Agent Learning Path from Zero: A Complete Guide from Principles to Practice
A systematic AI Agent learning path covering core principles, dev environment setup, memory management, multi-agent collaboration, and hands-on projects for beginners.
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·3 min
6 AI Testing Skills Covering the Full Workflow, Boosting Efficiency Several Times Over
6 AI Skills for test engineers: test case generation, PRD-to-XMind, JMeter scripts, Playwright automation, performance reports, and requirement checklists—completing 2-3 days of work in half a day.
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·3 min
Claude AI Builds a FiveM Server from Scratch: Full RP Server Setup Test
Real test of Claude AI building a complete FiveM RP server from an empty folder, covering Qbox framework, economy, police jobs, housing, and phone systems.
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·4 min
A Practical Guide to Loop Engineering: Pain Points and Solutions in Automated AI Coding Workflows
Deep dive into Loop Engineering: core mechanisms, three major pain points (reliability, cost, context bloat), and Harness workflow solutions including mixed model strategies and Human in the Loop.
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·4 min
HAMAS Multi-Agent Framework in Practice: A Guide to Building 5 AI Personas Working in Harmony
Learn how to build a multi-Agent AI team with the HAMAS framework: 5 role configurations, Skill mechanisms, gradient model scheduling, and solutions for AI hallucination and deception.
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·3 min
ARS Framework from Shanghai Jiao Tong University: Enabling Automated AI Research with Trustworthy Conclusions
Shanghai Jiao Tong University's ARS open-source framework solves trustworthiness challenges in autonomous AI research with evidence traceability and independent verification. Papers completed via ARS have been accepted at academic conferences.
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·3 min
Claude Code vs Codex: A Deep Comparison — Who Wins When the Tech Converges
Deep comparison of Claude Code vs OpenAI Codex across first-mover advantage, architecture, market share, and reliability. Discover what truly matters when AI coding tools converge.
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·3 min
Enterprise AI Agent Architecture in Practice: Sandbox Isolation and Skill Management Explained
Deep dive into enterprise AI agent architecture covering HARIS task decomposition, sandbox isolation, Skill persistence, MCP tool integration, and user-level memory systems.
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·3 min
X API Sudden 403 Errors: A Troubleshooting Guide for Vanishing Free Credits and Subscriptions
X API suddenly returns 403 Forbidden errors as developer free credits and subscriptions vanish. A deep dive into causes, troubleshooting steps, and long-term risk management strategies.
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