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Linyb Geek Road

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Latest from Linyb Geek Road

94 recent articles

Linyb Geek Road

Jun 19, 2026 · Artificial Intelligence

Agent Skills Review: How New AI Skills Are Redefining Large‑Model Operating Systems

The article surveys the rapid emergence of Agent Skills, outlines a six‑layer framework that defines their ontology, representation, lifecycle, runtime integration, governance, and applications, highlights severe security vulnerabilities revealed in large‑scale studies, and discusses the open research challenges ahead.

AI Agent ApplicationsAI safetyAgent Governance

0 likes · 16 min read

Agent Skills Review: How New AI Skills Are Redefining Large‑Model Operating Systems

Linyb Geek Road

Jun 18, 2026 · Artificial Intelligence

Are Prompts Becoming Obsolete? A Deep Dive into Loop Engineering

Loop Engineering replaces manual prompt engineering with autonomous agent loops that discover, assign, verify, and record tasks, outlining five essential modules plus memory, while discussing token costs, verification responsibilities, and practical implementations in Claude Code and Codex.

AI agentsAutomationClaude Code

0 likes · 14 min read

Are Prompts Becoming Obsolete? A Deep Dive into Loop Engineering

Linyb Geek Road

Jun 17, 2026 · Artificial Intelligence

Why Future AI Projects Need More Than Code: Deep Dive into OpenAI Harness Engineering

The article analyzes why powerful models like GPT, Claude, Gemini, and DeepSeek alone don't boost AI project efficiency, introducing OpenAI's Harness Engineering—a constraint‑based methodology that provides AI agents with clear specifications, evaluations, guardrails, and observability to ensure stable, auditable, and trustworthy autonomous work.

AI GovernanceAutomationHarness Engineering

0 likes · 8 min read

Why Future AI Projects Need More Than Code: Deep Dive into OpenAI Harness Engineering

Linyb Geek Road

Jun 16, 2026 · Artificial Intelligence

What Is Loop Engineering and Why It’s the Next Step for AI Coding Agents

Loop Engineering, which rose to prominence in June 2026 as the natural evolution of Prompt, Context, and Harness engineering, replaces manual prompting of AI coding agents with an automated system that orchestrates prompts, timing, and result handling, while still relying on the underlying three engineering layers.

AI Coding AgentsAgent HarnessAutomation

0 likes · 12 min read

What Is Loop Engineering and Why It’s the Next Step for AI Coding Agents

Linyb Geek Road

Jun 16, 2026 · Artificial Intelligence

Loop Engineering: The Next Evolution Beyond Harness Engineering in AI Coding

The article introduces Loop Engineering as a new AI coding paradigm that builds on Harness Engineering, explains its primitives, contrasts it with cron‑style automation, outlines suitable use cases, and provides a practical checklist for engineers to adopt reliable, context‑aware agent loops.

AI codingAgent HarnessAutomation

0 likes · 15 min read

Loop Engineering: The Next Evolution Beyond Harness Engineering in AI Coding

Linyb Geek Road

Jun 14, 2026 · Big Data

How to Solve Data Ordering Issues in Apache Kafka

This article explains how Kafka maintains order within partitions using keys and offsets, why ordering across partitions can break, and how to preserve strict sequencing through producer configuration, idempotent producers, and exactly‑once transactional processing.

Exactly-onceKafkadata ordering

0 likes · 9 min read

How to Solve Data Ordering Issues in Apache Kafka

Linyb Geek Road

Jun 13, 2026 · Industry Insights

From Generative AI to Agentic AI: Jensen Huang’s Five‑Layer Blueprint for the Next AI Wave

Jensen Huang argues that AI has moved from content generation to agentic systems, triggering a thousand‑fold rise in compute demand and a restructuring of power, chips, infrastructure, models and applications, while emphasizing responsible use, new industrial opportunities, and the evolving role of human expertise.

AIAI InfrastructureAI safety

0 likes · 13 min read

From Generative AI to Agentic AI: Jensen Huang’s Five‑Layer Blueprint for the Next AI Wave

Linyb Geek Road

Jun 13, 2026 · Artificial Intelligence

How Nvidia’s OODA‑Loop Agent Architecture Turns Software into Self‑Evolving Systems

Jensen Huang’s vision repurposes the military OODA loop—Observe, Orient, Decide, Act—into an AI‑driven agent architecture where LLMs, prompts, tools, and memory form a fast‑cycling loop that lets software continuously monitor, reason, decide, and act without static code.

AgentAutomationLLM

0 likes · 22 min read

How Nvidia’s OODA‑Loop Agent Architecture Turns Software into Self‑Evolving Systems

Linyb Geek Road

Jun 11, 2026 · Artificial Intelligence

From Reactive to Self‑Evolving: The Four‑Stage Evolution of AI Agents (2023‑2026)

The article maps the 2023‑2026 evolution of AI agents across four distinct stages—reactive ReAct, workflow‑driven, autonomous, and self‑evolving—while dissecting how the six core modules (Prompt, Planning, Memory, Tools, Workflow, Environment) shift from model‑centric to engineered determinism.

AI agentsAgent architectureMemory

0 likes · 10 min read

From Reactive to Self‑Evolving: The Four‑Stage Evolution of AI Agents (2023‑2026)

Linyb Geek Road

Jun 8, 2026 · Artificial Intelligence

How OpenAI’s Codex Team Built a Commercial App Without Writing a Single Line of Human Code

OpenAI’s Codex team started from an empty repository and, by relying solely on AI‑generated application logic, tests, CI configurations and documentation, built a commercial‑grade software product in one‑tenth the usual development time, detailing roles, repository knowledge, agent legibility, architecture constraints, and iterative autonomy.

AI code generationAutomationCodex

0 likes · 12 min read

How OpenAI’s Codex Team Built a Commercial App Without Writing a Single Line of Human Code