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FunTester

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Latest from FunTester

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FunTester

Jun 30, 2026 · Industry Insights

How AI Is Reshaping the Testing Industry: From Scattered Scripts to Full‑Process Quality Control

The article analyses how AI‑driven coding assistants are accelerating development while traditional testing lags behind, argues that test engineers must shift from ad‑hoc scripts to engineered, prompt‑driven test frameworks, and reviews the "Trae AI" book that demonstrates concrete AI‑assisted testing techniques and productivity gains.

AI TestingSoftware TestingTrae AI

0 likes · 10 min read

How AI Is Reshaping the Testing Industry: From Scattered Scripts to Full‑Process Quality Control

FunTester

Jun 29, 2026 · Artificial Intelligence

Why Automation Lags Behind Code—and How AI‑Driven Demand‑Based Testing Can Close the Gap

The article explains that test automation often falls behind code because its start point is downstream, and proposes a demand‑driven, AI‑powered autonomous testing architecture that moves automation to the requirements phase, reducing coverage gaps, shifting maintenance, and improving requirement quality.

AI TestingPlaywrightSoftware Testing

0 likes · 12 min read

Why Automation Lags Behind Code—and How AI‑Driven Demand‑Based Testing Can Close the Gap

FunTester

Jun 28, 2026 · Operations

How to Align Test Speed with Rapid AI Code Generation

The article analyzes how AI-generated code now outpaces traditional testing, exposing coverage blind spots, hallucinated logic, dependency gaps, and latent regressions, and proposes AI‑assisted testing practices to close the validation gap and keep test velocity in step with code creation.

AI code generationAutomated TestingCI/CD

0 likes · 12 min read

How to Align Test Speed with Rapid AI Code Generation

FunTester

Jun 24, 2026 · Artificial Intelligence

Memory Is Not the Answer—It’s the Navigation for Claude Code

The article outlines a practical workflow for using Claude Code together with claude‑mem, showing how to retrieve relevant historical memories, read the codebase on demand, solidify key conclusions, create structured summaries, and regularly prune outdated memories to turn each development session into a reusable knowledge asset.

AI coding assistantClaudememory workflow

0 likes · 16 min read

Memory Is Not the Answer—It’s the Navigation for Claude Code

FunTester

Jun 24, 2026 · Artificial Intelligence

What Should Claude‑mem Remember? Practical Guidelines for Effective Long‑Term Memory

The article explains that Claude‑mem’s long‑term memory should store high‑value, decision‑impacting knowledge rather than raw chat logs, outlines six categories of information worth remembering, three types to avoid, and provides concrete formats and cleanup practices to keep the memory useful for future AI‑assisted development.

AI memoryClaudeClaude-Mem

0 likes · 14 min read

What Should Claude‑mem Remember? Practical Guidelines for Effective Long‑Term Memory

FunTester

Jun 19, 2026 · Artificial Intelligence

How claude‑mem Gives Claude Code Long‑Term Project Memory

The article analyzes why Claude Code forgets project context across sessions, explains the limitations of short‑term AI chat windows, and shows how the claude‑mem tool extracts, compresses, and re‑injects essential project experience to provide high‑signal long‑term memory for safer, more context‑aware development and testing.

AI AgentsAI coding assistantClaude Code

0 likes · 11 min read

How claude‑mem Gives Claude Code Long‑Term Project Memory

FunTester

Jun 17, 2026 · Artificial Intelligence

Implementing a Three‑Layer Memory Model for Claude Code

The article explains how to separate stable project rules, dynamic experience, and current task context into CLAUDE.md, claude‑mem, and the active session, providing concrete examples, criteria, and a three‑layer model to keep Claude Code’s context clean and effective.

AI memory managementCLAUDE.mdClaude Code

0 likes · 13 min read

Implementing a Three‑Layer Memory Model for Claude Code

FunTester

Jun 17, 2026 · Artificial Intelligence

Why Context Engineering Beats Prompt Engineering for Strong AI Agents

The article argues that in the AI Agent era, success depends less on clever prompts and more on designing high‑quality, just‑in‑time context systems, proper tool interfaces, external memory, and sub‑agent architectures to manage the model's limited attention budget.

AI agentJust-in-Time ContextSub‑agents

0 likes · 16 min read

Why Context Engineering Beats Prompt Engineering for Strong AI Agents

FunTester

Jun 15, 2026 · R&D Management

Where Does Test Development Go When Functional QA Disappears?

The article analyzes how shrinking functional QA forces development teams to assume quality responsibilities—adding unit, contract, and observability tests, embedding quality gates in CI/CD pipelines, elevating test platform roles, and clarifying AI's limits—illustrated with a refund feature case study.

AICI/CDSDET

0 likes · 15 min read

Where Does Test Development Go When Functional QA Disappears?

FunTester

Jun 12, 2026 · R&D Management

Why Removing QA Requires Building a New Quality Framework

Eliminating a dedicated QA function may look like cost savings, but without establishing a comprehensive quality system—including self‑testing, automation, release gates, monitoring, and post‑incident reviews—risk simply shifts to production, leading to hidden incidents, longer rollbacks, and ultimately higher total cost.

QASRESoftware Quality

0 likes · 18 min read

Why Removing QA Requires Building a New Quality Framework