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Linyb Geek Road
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Linyb Geek Road

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Latest from Linyb Geek Road

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Linyb Geek Road
Linyb Geek Road
Jul 10, 2026 · Artificial Intelligence

Unlock AI Coding Superpowers with Spec‑Driven Development

The article explains how writing clear specification documents—detailing required features, prohibitions, and acceptance criteria—guides AI code generators to produce reliable, secure code, avoiding guesswork and over‑implementation, and shows how this disciplined approach becomes a programmer’s most valuable skill in the age of AI.

AI code generationDevelopment WorkflowPrompt Engineering
0 likes · 13 min read
Unlock AI Coding Superpowers with Spec‑Driven Development
Linyb Geek Road
Linyb Geek Road
Jul 10, 2026 · Artificial Intelligence

Why Writing Specs Is Just Writing Code Again – The Double‑Watch Dilemma

The article argues that detailed specification documents for AI agents end up being as verbose and bug‑prone as actual code, turning a single spec into two code‑like artifacts and exposing a "precision conservation" law that makes AI‑generated code unreliable.

AI code generationPrompt Engineeringautomation
0 likes · 16 min read
Why Writing Specs Is Just Writing Code Again – The Double‑Watch Dilemma
Linyb Geek Road
Linyb Geek Road
Jul 9, 2026 · Artificial Intelligence

Implementing AI Agents with Andrew Ng’s Loop Engineering: A Practical Guide

The article explains Andrew Ng’s Loop Engineering framework—three nested feedback loops that transform AI‑assisted coding from manual babysitting into an automated pipeline, and provides concrete steps, tool recommendations, and evaluation‑standard guidelines for building reliable AI agents.

AI agentsAI developmentLoop Engineering
0 likes · 10 min read
Implementing AI Agents with Andrew Ng’s Loop Engineering: A Practical Guide
Linyb Geek Road
Linyb Geek Road
Jul 8, 2026 · Industry Insights

Is Spec‑Driven Development a Savior or a Burden in the Age of AI‑Generated Code?

The article analyses how AI‑generated code creates massive technical debt, explains Spec‑Driven Development (SDD) and its three maturity levels, evaluates three real‑world tools—Kiro, spec‑kit and Tessl—through concrete metrics and expert commentary, and finally advises when SDD is worthwhile and when it becomes a heavyweight process.

AI code generationKiroSpec Driven Development
0 likes · 17 min read
Is Spec‑Driven Development a Savior or a Burden in the Age of AI‑Generated Code?
Linyb Geek Road
Linyb Geek Road
Jul 7, 2026 · Artificial Intelligence

Understanding AI Agents: What They Are and How to Pick the Right Framework

An AI Agent combines a large language model, tools, and memory to turn natural language requests into actions, with three core components—environment, sensor, actuator—seven agent types, usage criteria, and guidance on selecting between Microsoft Agent Framework and Azure AI Agent Service, plus runnable demos.

AI AgentAzure AI Agent ServiceLLM
0 likes · 15 min read
Understanding AI Agents: What They Are and How to Pick the Right Framework
Linyb Geek Road
Linyb Geek Road
Jul 6, 2026 · R&D Management

From Vibe Coding to Spec‑Driven Development: Evolving Team Efficiency

The article analyses the rise of Vibe Coding, its hidden entropy costs for teams, and proposes Spec‑Driven Development (SDD) as a deterministic, context‑engineered alternative, detailing its philosophy, lifecycle, tooling ecosystem, practical adoption steps, and metrics for measuring engineering productivity.

AI-assisted codingSpec Driven DevelopmentVibe Coding
0 likes · 32 min read
From Vibe Coding to Spec‑Driven Development: Evolving Team Efficiency
Linyb Geek Road
Linyb Geek Road
Jul 5, 2026 · R&D Management

A Complete Guide to Superpowers Skills with Scenario‑Based Usage Patterns

This article provides a detailed walkthrough of every official Superpowers skill—including identifiers, trigger rules, applicable scenarios, execution logic, and manual commands—and demonstrates how to combine these skills in multiple real‑world development workflows such as new feature delivery, urgent bug fixes, parallel task development, PR review remediation, core code refactoring, and multi‑demand parallel development.

AI workflow automationCode ReviewGit worktrees
0 likes · 22 min read
A Complete Guide to Superpowers Skills with Scenario‑Based Usage Patterns
Linyb Geek Road
Linyb Geek Road
Jul 4, 2026 · Artificial Intelligence

Iterative Development of Agent Skills: A Hands‑On Guide

This article explains the concept of Agent Skill as a modular, file‑system‑based knowledge asset for AI agents, outlines its three‑layer progressive disclosure architecture, details suitable and unsuitable scenarios, and provides concrete iterative development practices—including decision‑tree design, dual verification, and tool‑supported workflows—to turn expert expertise into reusable, zero‑dependency SOPs.

AI workflowAgent SkillProgressive Disclosure
0 likes · 16 min read
Iterative Development of Agent Skills: A Hands‑On Guide
Linyb Geek Road
Linyb Geek Road
Jul 3, 2026 · Artificial Intelligence

Production-Ready AI Agent Harness: Architecture and Design Principles

The article explains why the stability of AI agents depends on the harness rather than the model, outlines a five‑layer production‑grade harness architecture (Environment, Tool, Control, Memory, Evaluation), and presents five engineering principles to build a reliable, observable, and maintainable agent runtime system.

AI AgentHarness EngineeringRuntime Architecture
0 likes · 18 min read
Production-Ready AI Agent Harness: Architecture and Design Principles