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Linyb Geek Road
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Linyb Geek Road

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Recent Articles

Latest from Linyb Geek Road

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Linyb Geek Road
Linyb Geek Road
Aug 15, 2026 · Operations

17 Essential IT Operations Metrics Everyone Should Know (AI Not Required)

The article outlines why monitoring key IT operations metrics is vital for performance, reliability, and cost control, then details 17 common metrics—including availability, failure rate, MTTR, MTBF, response time, throughput, error rate, capacity utilization, latency, data integrity, success rates, waiting time, backup success, recovery time, security patch time, server and network bandwidth utilization—providing definitions, calculation formulas, typical reference values, and applicable scenarios.

IT OperationsMTTRMetrics
0 likes · 7 min read
17 Essential IT Operations Metrics Everyone Should Know (AI Not Required)
Linyb Geek Road
Linyb Geek Road
Aug 14, 2026 · Artificial Intelligence

Why AI Agents Are Shifting from Loops to Graphs: Building Reliable Software Systems

The article argues that AI agent development is moving beyond improving model performance toward engineering reliable software systems, introducing concepts such as Harness, Loop, and Graph engineering, and explains how organizing agents, feedback loops, and dependency graphs can turn AI agents into robust, verifiable applications.

AI AgentGraph EngineeringHarness
0 likes · 12 min read
Why AI Agents Are Shifting from Loops to Graphs: Building Reliable Software Systems
Linyb Geek Road
Linyb Geek Road
Aug 14, 2026 · Artificial Intelligence

Why AI Agents Fail: The Three‑Layer Harness, Loop, and Graph Architecture

The article explains that AI agent failures are rarely due to model intelligence and instead stem from three engineering layers—Harness, Loop, and Graph—detailing how tool access, verification loops, and workflow graphs affect reliability, and provides a checklist for diagnosing which layer is broken.

AI agentsHarness EngineeringLoop Engineering
0 likes · 12 min read
Why AI Agents Fail: The Three‑Layer Harness, Loop, and Graph Architecture
Linyb Geek Road
Linyb Geek Road
Aug 13, 2026 · Artificial Intelligence

SRAM vs DRAM vs HBM: A Complete Memory Hierarchy for the AI Era

The article provides a detailed technical comparison of SRAM, DRAM and HBM, explains their roles in modern AI GPUs such as the H100, discusses training and inference memory placement, and evaluates emerging ideas like High‑Bandwidth SRAM and High‑Bandwidth Flash, concluding that all three memory types will coexist in future AI systems.

AI hardwareDRAMGPU
0 likes · 12 min read
SRAM vs DRAM vs HBM: A Complete Memory Hierarchy for the AI Era
Linyb Geek Road
Linyb Geek Road
Aug 12, 2026 · Artificial Intelligence

From Loop Engineering to Graph Engineering: Why Speed Isn’t Enough

The article explains how moving from single‑loop (Loop Engineering) to interconnected loops forming a graph (Graph Engineering) can prevent agents from optimizing narrow metrics at the expense of real business value, outlining risks like Goodhart’s law and offering a four‑step framework for supervision, conflict resolution, and independent auditing.

AI system designGoodhart's LawGraph Engineering
0 likes · 10 min read
From Loop Engineering to Graph Engineering: Why Speed Isn’t Enough
Linyb Geek Road
Linyb Geek Road
Aug 11, 2026 · Fundamentals

A Panoramic Look at Linux Directory Structure: The Design Philosophy Behind the FHS Standard

The article explains how Linux’s single‑root filesystem, governed by the Filesystem Hierarchy Standard (FHS), resolves early Unix directory chaos through hierarchical organization, functional separation, predictability, and economic design, and details the responsibilities of each standard directory.

Filesystem Hierarchy StandardLinuxdirectory structure
0 likes · 8 min read
A Panoramic Look at Linux Directory Structure: The Design Philosophy Behind the FHS Standard
Linyb Geek Road
Linyb Geek Road
Aug 10, 2026 · Artificial Intelligence

Is Loop Engineering Dead? Understanding the New Paradigm of Graph Engineering

The article examines why Loop Engineering is giving way to Graph Engineering, detailing the five‑layer evolution, structural flaws of single‑loop systems, the advantages of graph‑based multi‑agent orchestration, real‑world examples, cost‑benefit analysis, and practical guidance on when to adopt graph engineering.

Graph EngineeringLangGraphLoop Engineering
0 likes · 23 min read
Is Loop Engineering Dead? Understanding the New Paradigm of Graph Engineering
Linyb Geek Road
Linyb Geek Road
Aug 8, 2026 · Backend Development

How to Design a “Cut‑the‑Price” Giveaway Without Going Broke – Interview‑Winning Solution

The article dissects a high‑concurrency “cut‑the‑price” giveaway system, detailing a user‑value‑based pricing algorithm, micro‑unit Redis storage, anti‑fraud device fingerprinting, extreme convergence logic, and unit‑switching tricks, and provides a concise interview answer template.

Anti-FraudHigh ConcurrencyLua
0 likes · 7 min read
How to Design a “Cut‑the‑Price” Giveaway Without Going Broke – Interview‑Winning Solution
Linyb Geek Road
Linyb Geek Road
Aug 7, 2026 · Operations

Is Your Harness Workflow Actually Improving? A Quantifiable Exam‑Based Evaluation System

The article presents Harness Eval, a lightweight, regression‑capable testing framework that treats Harness workflows like exam questions, defines three core principles (repeatability, attribution, closed‑loop), details the design of test assets, the multi‑turn examiner‑candidate interaction, automated grading with evidence‑backed scores and improvement suggestions, and shows how applying it raised the team’s pass rate from 82.4% to 100%.

AutomationCI/CDDevOps
0 likes · 21 min read
Is Your Harness Workflow Actually Improving? A Quantifiable Exam‑Based Evaluation System