Most mobile teams obsess over features, onboarding flows, and experiments but there’s a simpler problem that quietly decides whether any of those things even matter:

how long it takes your app to show the first screen.

Before a user signs up, taps a CTA, or sees your UI, they wait through startup. And that wait is surprisingly unforgiving. If nothing appears for a couple of seconds, people assume the app froze. They close it and try something else.

No error. No complaint. Just churn.

Very few apps ship slow on day one. They get slow over time.

An analytics SDK gets added. Then crash reporting. Then remote config. A few experiments. More feature modules. A couple of third-party libraries. Some eager initialization “just to be safe.”

Each decision is reasonable on its own.

But during a cold start, the system doesn’t see them individually. It sees one long chain of work that must finish before the first frame can render:

load code → initialize frameworks → run lifecycle → build UI

Every dependency extends that chain. So, even if nothing looks expensive in isolation, the total startup cost keeps creeping up release after release.

Eventually you open the app and it just… sits there for two or three seconds.

Not because anything is broken - simply because too much is happening before the UI appears.

Teams that consistently ship fast launches don’t rely on clever tricks. They do three boring but disciplined things.

First, they measure startup properly. Not on emulators. Not in debug mode. They use real devices and production data from tools like Android Vitals, Xcode Instruments, or Flutter timelines. They care about the slowest devices, not the average.

Second, they treat the first frame as sacred. Anything not required to show that first screen gets deferred. Analytics, crash reporting, config fetches - all moved until after the UI is visible. The work still happens, just not on the critical path.

This alone often cuts perceived startup time dramatically without changing any features.

Third, they think about architecture. Because even with deferring and profiling, startup tends to regress as the app grows. More features mean more initialization. At some point, you’re fighting physics.

So they reduce how much code participates in launch in the first place - whether through modularization, lazy loading, or runtime-driven approaches where only what’s needed gets initialized.

Startup performance isn’t a niche metric. It’s the first interaction users have with your product.

If the app feels instant, everything else gets a chance to work.

If it doesn’t, nothing after it matters.

And that’s why launch time isn’t just an engineering concern - it’s a basic product constraint that every growing app eventually has to design around.

👉 Read the full deep dive: How to Measure App Startup Performance: The Complete 2026 Guide

We’ve expanded the Digia dashboard with a growing library of ready-to-use templates to help teams ship faster without starting from scratch. You can now begin with prebuilt structures at multiple levels - project templates for full app setups, page templates for common flows, and reusable component templates for UI building blocks.

The goal is simple: reduce setup time and repetitive scaffolding. Instead of rebuilding the same layouts, navigation, and components every time, teams can start from a working foundation and customize from there. Less boilerplate, faster iteration, and more time spent on product logic rather than wiring screens together.

👉 Do check them out at Digia Studio

OpenAI has released a native desktop version of its Codex coding assistant, delivering a macOS app designed for multi-agent workflows rather than single prompt responses.

This isn’t merely a wrapper around existing tooling. The app provides persistent context between agents and supports “skills” that bundle repeated actions across tools and projects. Available now on macOS, it aims to reduce fragmentation between terminals, IDEs, and web UIs. Early access for Free and Go users suggests OpenAI is prioritizing adoption, with broader platform support likely to follow.