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94 recent articles

Linyb Geek Road

Jul 2, 2026 · Artificial Intelligence

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

Although teams now have powerful models like GPT, Claude, Gemini, and DeepSeek, AI project efficiency often stalls because teams still manage AI like human programmers, lacking clear constraints and governance; OpenAI's Harness Engineering addresses this by defining specs, evaluations, guards, and traces to make AI agents reliable, auditable, and safely autonomous.

AI GovernanceAI agentsAutomation

0 likes · 9 min read

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

Linyb Geek Road

Jul 1, 2026 · Fundamentals

Why Random Feature Flags Turn Good Software Into a Nightmare

The article analyzes how the unchecked addition of configuration flags inflates code complexity, creates combinatorial testing burdens, and hides design flaws, while offering practical guidelines and community perspectives on managing flag debt responsibly.

configuration managementfeature flagssoftware design

0 likes · 11 min read

Why Random Feature Flags Turn Good Software Into a Nightmare

Linyb Geek Road

Jun 30, 2026 · Backend Development

How to Design Pagination for Billion‑Row Sharded Databases in an Interview

The article systematically breaks down pagination challenges in billion‑row sharded databases, compares common sharding strategies and middleware architectures, analyzes the performance drawbacks of a naïve global‑query approach, and presents several practical alternatives—including keyset pagination, two‑stage queries, index‑table tricks, and external search or NewSQL solutions—while highlighting their trade‑offs for interview discussions.

PerformanceSQLSharding

0 likes · 24 min read

How to Design Pagination for Billion‑Row Sharded Databases in an Interview

Linyb Geek Road

Jun 30, 2026 · Databases

Implementing Efficient Pagination Across Sharded Databases

The article analyzes why traditional LIMIT/OFFSET pagination fails when data is split across multiple databases, presents a global query approach with its trade‑offs, and proposes an optimized "no‑skip" method plus practical tips using ShardingSphere and Elasticsearch.

ElasticsearchShardingShardingSphere

0 likes · 7 min read

Implementing Efficient Pagination Across Sharded Databases

Linyb Geek Road

Jun 29, 2026 · Artificial Intelligence

Understanding Loop Engineering: Concepts, Insights, and Practical Applications

The article explains Loop Engineering by distinguishing it from basic Agent Loops, outlines its six core components, showcases a text‑classification example, and discusses when the approach boosts efficiency versus when traditional Human‑in‑the‑Loop remains preferable.

AI agentsAutomationLoop Engineering

0 likes · 21 min read

Understanding Loop Engineering: Concepts, Insights, and Practical Applications

Linyb Geek Road

Jun 29, 2026 · Artificial Intelligence

Deep Dive into Loop Engineering: From Prompt Engineering to System Design

Loop Engineering replaces manual prompting with system‑designed loops that let AI agents iterate autonomously, covering its definition, origins, five core modules plus memory, a full‑stack example, experimental results, limitations, and a comparison between Claude Code and Codex.

AI agentsAutomationConnector

0 likes · 16 min read

Deep Dive into Loop Engineering: From Prompt Engineering to System Design

Linyb Geek Road

Jun 28, 2026 · Artificial Intelligence

12 Pitfalls I Learned While Building AI Skills Over Six Months

Over the past half‑year the author built dozens of AI Skills, discovering twelve common traps—from over‑relying on prompts and bloated skill sets to vague descriptions, hidden token costs, knowledge placement, security gaps, and the need for proper evaluation—offering concrete guidance to avoid them.

AI SkillsAgentEvaluation

0 likes · 11 min read

12 Pitfalls I Learned While Building AI Skills Over Six Months

Linyb Geek Road

Jun 27, 2026 · Artificial Intelligence

How to Build a Real AI Coding Environment with Matt Pocock’s Skills

While many expect AI to instantly double coding speed, the article shows that without a solid engineering feedback loop projects falter; Matt Pocock’s open‑source .skills repository offers a markdown‑driven workflow—clarifying requirements, documenting decisions, applying TDD, diagnosing bugs, and maintaining architecture—guiding developers through a repeatable, context‑aware AI‑assisted development process.

AI programmingClaude CodeDebugging

0 likes · 14 min read

How to Build a Real AI Coding Environment with Matt Pocock’s Skills

Linyb Geek Road

Jun 27, 2026 · Artificial Intelligence

Why Agent Skills Are Doomed to Become Obsolete

The article argues that the current rush to collect and sell Agent Skills is a fleeting trend, because each skill is a handcrafted SOP that models will eventually internalize, turning most of today’s skill assets into short‑lived consumables.

AI EcosystemAgent SkillsData Scarcity

0 likes · 10 min read

Why Agent Skills Are Doomed to Become Obsolete

Linyb Geek Road

Jun 26, 2026 · Artificial Intelligence

Why One Agent Isn't Enough: Multi‑Agent Orchestration for Efficient AI Teams

Because a single LLM agent quickly hits context limits, role confusion, and tool selection failures, the article analyzes four multi‑agent orchestration patterns, the A2A protocol, framework selection, and engineering challenges such as state management, error recovery, observability, and token cost, even for edge deployment.

A2A protocolEdge deploymentLLM

0 likes · 9 min read

Why One Agent Isn't Enough: Multi‑Agent Orchestration for Efficient AI Teams