When things are tight, bringing in a high-tech tool to sort it all out sounds pretty appealing. On the surface, AI-powered QA tools tick all the boxes: speed, coverage, efficiency.
Every December, the same conversation! A push to get that final update out before everyone clocks off. We get it, there’s a real pressure to deliver, tidy up the roadmap and show something shipped before year-end.
We often hear people saying they want one QA tool that does it all. Whether they’re product leads, CTOs or project managers, many leaders are looking for that silver bullet to streamline testing.
If you’ve spent any time in design circles lately, you’ve probably heard that sentiment. Maybe even said it yourself. Templates, generated assets, and auto-layouts are everywhere.
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.