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AI Digital Ideal
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AI Digital Ideal

Express ideas with code, expand imagination with AI.

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Latest from AI Digital Ideal

10 recent articles
AI Digital Ideal
AI Digital Ideal
Jul 23, 2026 · Fundamentals

Lesson 0005 – QA Audit Loop: Adding an Independent Quality Gate Beyond CI

This lesson extends the CI pipeline with a separate QA audit loop that checks accessibility, internationalisation, and performance, explains why QA must be independent of CI, describes the three‑dimensional audit model, provides concrete Playwright‑axe‑core and i18n‑checker scripts, and shows how to integrate Lighthouse CI and ledger updates for a complete quality sign‑off.

CILighthouseQA
0 likes · 17 min read
Lesson 0005 – QA Audit Loop: Adding an Independent Quality Gate Beyond CI
AI Digital Ideal
AI Digital Ideal
Jul 23, 2026 · Fundamentals

AI Test Engineering Lesson 0006: From Requirements to Executable Test Documentation

This lesson explains how to design comprehensive test documentation and test cases, covering the eight essential test‑case elements, equivalence partitioning, boundary‑value analysis, scenario testing, decision tables, Gherkin versus traditional test cases, practical examples, templates, AI‑assisted generation, and a QA checklist to help test engineers produce clear, repeatable, and maintainable test artifacts.

AIboundary-valueequivalence-partitioning
0 likes · 23 min read
AI Test Engineering Lesson 0006: From Requirements to Executable Test Documentation
AI Digital Ideal
AI Digital Ideal
Jul 16, 2026 · Artificial Intelligence

From Prompt Chef to Design Kitchen: What Is Loop Engineering?

Loop Engineering replaces manual prompt‑by‑prompt commands with autonomous, self‑checking feedback loops for AI agents, defining a Loop as a trigger‑action‑validation‑state cycle, illustrated by insights from Boris Cherny, Peter Steinberger’s OpenClaw, and Addy Osmani’s Agent Skills, and outlines a step‑by‑step learning path.

AI agentsLoop EngineeringPrompt Engineering
0 likes · 10 min read
From Prompt Chef to Design Kitchen: What Is Loop Engineering?
AI Digital Ideal
AI Digital Ideal
Jul 15, 2026 · Fundamentals

Master the 7 Core Principles of Software Testing to Build a Strong Testing Mindset

This lesson explains the seven ISTQB testing principles, categorizes them into cognitive, economic, and engineering groups, shows how they guide decision‑making, avoid anti‑patterns, and improve communication, and provides concrete examples, enterprise case studies, AI‑related tips, and hands‑on practice for building a solid testing mindset.

ISTQBquality assurancesoftware testing
0 likes · 31 min read
Master the 7 Core Principles of Software Testing to Build a Strong Testing Mindset
AI Digital Ideal
AI Digital Ideal
Jul 15, 2026 · Fundamentals

Lesson 0002: Mapping Test Timing with V/W/H Models in the Software Lifecycle

This lesson explains the software development life cycle (SDLC) and the software testing life cycle (STLC), introduces the V, W, and H testing models, discusses Shift‑Left and Shift‑Right strategies, provides concrete examples, practical tasks, AI‑assisted prompts, and real‑world case studies to help teams integrate testing throughout the product lifecycle.

H modelSDLCSTLC
0 likes · 26 min read
Lesson 0002: Mapping Test Timing with V/W/H Models in the Software Lifecycle
AI Digital Ideal
AI Digital Ideal
Jul 11, 2026 · Artificial Intelligence

Claude Code: Applying Anthropic’s 5 Principles with an 8‑Point Checklist

This article dissects Claude Code’s architecture—its atomic toolset, three built‑in subagents, hook system, skill structure, MCP integration, and CLAUDE.md contract—using an eight‑point checklist to show how Anthropic translates five design principles into concrete, observable engineering decisions.

AI agentsMCPdesign principles
0 likes · 20 min read
Claude Code: Applying Anthropic’s 5 Principles with an 8‑Point Checklist
AI Digital Ideal
AI Digital Ideal
Jul 7, 2026 · Artificial Intelligence

Standardizing LLM Tool Integration: How MCP Makes Harness a Universal Client‑Server Protocol

This tutorial explains the Model Context Protocol (MCP) introduced by Anthropic, showing how its three‑layer Host/Client/Server architecture and six primitives turn Harness into a standardized, USB‑like interface for connecting any data source or tool to large language models, with concrete examples, transport choices, and step‑by‑step implementation guidance.

Client‑ServerHarnessLLM integration
0 likes · 23 min read
Standardizing LLM Tool Integration: How MCP Makes Harness a Universal Client‑Server Protocol
AI Digital Ideal
AI Digital Ideal
Jul 5, 2026 · Artificial Intelligence

How Subagents and Task Tools Enable Isolated Workflows in Harness

This lesson explains how Harness uses Subagents—isolated execution units created via the Task tool—to offload heavy, multi‑step operations into separate context windows, custom prompts, and limited toolsets, and how to configure built‑in and custom Subagents with the Claude Code SDK.

Agentic LoopClaude CodeIsolation
0 likes · 22 min read
How Subagents and Task Tools Enable Isolated Workflows in Harness