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FunTester
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FunTester

10k followers, 1k articles | completely useless

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Latest from FunTester

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FunTester
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 memoryClaudeContext Engineering
0 likes · 14 min read
What Should Claude‑mem Remember? Practical Guidelines for Effective Long‑Term Memory
FunTester
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
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
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 AgentContext EngineeringJust-in-Time Context
0 likes · 16 min read
Why Context Engineering Beats Prompt Engineering for Strong AI Agents
FunTester
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
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.

QASREquality governance
0 likes · 18 min read
Why Removing QA Requires Building a New Quality Framework
FunTester
FunTester
May 24, 2026 · Industry Insights

Why Faster AI Generation Increases Human Review Fatigue

The article explains that while AI dramatically lowers the cost of generating drafts, it shifts work from creation to verification, causing professionals to spend more time reviewing and validating AI‑produced content, which leads to greater cognitive load and responsibility.

AIProductivityautomation
0 likes · 15 min read
Why Faster AI Generation Increases Human Review Fatigue
FunTester
FunTester
May 23, 2026 · Industry Insights

Why AI’s Productivity Gains Often Lead to More Work, Not Less

Although generative AI can speed up tasks like drafting emails, reports, and code, the article shows that this efficiency usually raises work density, expands task granularity, and shifts the saved time to additional demands, leaving employees feeling more exhausted rather than lighter.

AI productivityNBER studyUpwork survey
0 likes · 13 min read
Why AI’s Productivity Gains Often Lead to More Work, Not Less
FunTester
FunTester
May 22, 2026 · Artificial Intelligence

Why Prompt Tuning Isn’t Enough: Building a Test‑Driven Mindset for AI Products

The article argues that while prompt engineering accelerates early AI product development, it cannot guarantee overall quality, and advocates establishing a systematic evaluation pipeline—including curated datasets, clear benchmarks, regression testing, and automated checks—to make AI product quality visible and reliably improve over time.

AI testingPrompt engineeringevaluation pipeline
0 likes · 16 min read
Why Prompt Tuning Isn’t Enough: Building a Test‑Driven Mindset for AI Products
FunTester
FunTester
May 21, 2026 · Artificial Intelligence

How Anthropic Solves Agent Forgetfulness with Event Persistence

The article explains why in‑memory state is unreliable for long‑running or parallel agents, defines event persistence, shows how persisted event records enable checkpoint‑restart, observability, and experience extraction, and outlines practical guidelines for what to record.

AIAgentObservability
0 likes · 10 min read
How Anthropic Solves Agent Forgetfulness with Event Persistence