That’s a strong point. “Works in demo” and “protects users when things fail” are two very different standards. Especially in health software, failure modes are not rare edge cases. They are where trust is actually tested.

This is a useful wrapper. Cloudflare Tunnel is powerful, but the setup can feel scattered when you’re dealing with tunnels, domains, access rules, and Zero Trust settings. A clean CLI flow makes it much easier to use without missing steps.

Web apps are becoming the default because they’re easier to access, update, and scale. No installs, faster releases, cross device access, and simpler maintenance make them practical for most products. Native still matters, but not every idea needs an app store launch first.

SCADA is definitely moving beyond passive monitoring. Once it connects with analytics, alerts, cloud dashboards, and automation, it becomes more of an operational decision layer. But reliability and security still have to come first.

This is a strong way to put it. AI is very good at the happy path, but production software lives in the edge cases. Auth issues, retries, race conditions, state consistency, and failure handling are where real engineering still matters. AI can speed up the build, but it can also make teams postpone the thinking that should happen early.

Exactly. AI is great for getting a prototype moving, but stability still comes from architecture and engineering judgment. Speed helps only when the system behind it can handle scale, failures, and future changes.

Exactly. CI is about confidence, CD is about control. Mixing both too tightly can work for small teams, but once approvals, staging, rollbacks, and release timing matter, separation saves a lot of pain.

This is a strong point. AI is no longer just helping write code, it’s changing how code enters the supply chain. That means teams need better review, dependency checks, secrets scanning, and provenance tracking. Faster code is useful, but only if the supply chain stays trustworthy.

This is exactly the gap with AI-built products. AI can generate screens, code, and flows quickly, but it still doesn’t understand the business context, user pain, or tradeoffs behind the product. That’s why product judgment matters more now, not less.

API testing is one of those areas teams underestimate until something breaks between services. Unit tests help, but contract testing, integration checks, auth validation, error handling, and performance tests matter a lot once real users and third-party systems are involved.