Articles

You’ve done the builds, pushed the updates and your feature set is looking strong. But when the user count spikes, something gives. Screens freeze, requests time out, or the app crashes completely.

If your app’s performance keeps dipping under pressure, your first instinct might be to blame the infrastructure.

For tech leaders and operational teams burned by flaky freelancers, inflexible agencies or communication breakdowns, it’s no wonder that outsourcing feels like a risk, or even an admission of failure.

So, you had to move fast. Quickly knocking up a proof of concept, an MVP, a quick win - in a bid to just get something working and out the door. Hooray! It did its job. But now, months later, you're still building on top of that early code.

AI tooling is everywhere right now, and its promise is compelling: faster fixes, cleaner code, less time trawling through legacy spaghetti. For product leaders sitting on fragile apps with creaking codebases, it sounds like a golden ticket. But, where does the hype end and the risk begin?

Users don’t hang around to wait for fixes or suffer through something that isn’t made for them. They uninstall, leave a bad review and move on to the next alternative. But, there is some good news! Device fragmentation is manageable, if you approach it strategically…