Insight Articles

What we've learned from taking over and maintaining real systems — not trends we read somewhere else.

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Helper CTO Series 26 | Projects Built With Cursor, Claude Code, or Lovable: What to Prepare Before Handing Them to Engineers

恩梯科技 2026-10-13 343

Handing off a product built with AI tools to an engineer without preparation means the engineer spends half their time hunting for things. This article gives non-engineer owners four handoff essentials: where the code is, how to run it, which external services were used, and which features you actually wanted — and explains why an evaluation only needs read access to the code.

System Maintenance Vibe Coding Helper CTO 技術交接

AI Research

Helper CTO Series 22 | From AI Prototype to Real Product: What to Fix First Isn't Features, It's Maintainability

恩梯科技 2026-10-09 355

A prototype built with AI tools runs and demos fine, but when it's time to go live, many owners rush to add features and end up with something no one dares touch. This article defines maintainability in four plain terms — understandable, changeable, observable, recoverable — and gives the order to fix them in.

System Maintenance Vibe Coding Helper CTO 系統上線

AI Research

Helper CTO Series 18 | AI Keeps Breaking the Same Thing: Why an Untested Product Gets More Fragile Every Change

恩梯科技 2026-10-05 448

You tell AI to fix A, it breaks B; fix B, and A breaks again, until the product ends up in a state of "it works, but nobody dares to touch it." This article explains, in plain terms, why this happens: there's no list of what to recheck after a change, and automated testing is the machine version of that list. It then shows you where to start: the paths that would cost you money if they broke.

System Maintenance Vibe Coding Helper CTO 自動化測試

AI Research

Helper CTO Series 14 | Who Knows First When Your Site Goes Down

恩梯科技 2026-10-01 470

When a site goes down, the customer is often the first to find out - not you. This article lays out the smallest monitoring setup a small product needs: is it alive, is it throwing errors, can the server keep up, plus the easiest precondition to overlook - who's actually watching once the alert goes out.

System Maintenance Vibe Coding Helper CTO 系統監控

AI Research

Helper CTO Series 10 | Does Your AI Product Have Backups: The Minimum Standard for Database and Files

恩梯科技 2026-09-27 509

Backups on an AI-built product are almost always missing, because backups were never a feature — nobody thought to ask AI to build them. This article unpacks three common misconceptions, explains why the database and uploaded files need separate backups, gives four minimum standards, and explains why it only counts as a backup once you've tested restoring it.

System Maintenance Vibe Coding Helper CTO 系統備份

AI Research

Helper CTO Series 06 | The Security Landmines AI-Written Code Steps on Most: Permissions, Keys, Input Validation

恩梯科技 2026-09-23 558

A product built with AI tools is usually feature-complete but empty on the defense side, because nobody told it to lock the doors. This article uses plain-language scenarios to explain what happens with three landmines — permissions, keys, and input validation — with a five-minute three-question self-check and the order to fix them in.

System Maintenance Vibe Coding Helper CTO 系統資安

AI Research

Helper CTO Series 03 | AI Built It, but Demo-Ready Isn't Launch-Ready: Five Things Most Commonly Missing

恩梯科技 2026-09-20 559

A product built with Cursor, Claude Code, or Lovable can demo well, but when it's time to hand it to real customers, you don't know what's still missing. This article lists five things most commonly missing — security, backups, monitoring, deployment, error handling — one question to ask yourself for each, a 10-minute self-check, and the order to fix them in.

System Maintenance Vibe Coding Helper CTO 系統上線

AI Research

AI Memory Governance: What to Remember, When to Forget, and How to Stay Compliant

恩梯科技 2026-08-23 684

Memory makes AI understand you better the more you use it, but ungoverned memory leaves your company more exposed. Using actual provisions from Taiwan's PDPA, the GDPR, and the EU AI Act, this article lays out a practical AI memory governance framework: tiering, retention and forgetting, PII compliance, and audit.

Data Governance AI Compliance AI Memory Personal Data Act

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