Most performance discussions focus on how fast an app first appears, how smooth it feels in motion, or how quickly content shows up. Those things matter. They shape the first impression and early engagement.

But there’s a deeper performance dimension that almost never shows up in demos or dashboards: does the app continue to behave reliably under real usage?

To borrow a metaphor from the road, startup speed is like a car that accelerates instantly. Runtime smoothness is how it handles twists and turns. Screen load performance is how quickly it feels ready for the journey. But stability is how well it survives a long highway drive with passengers, luggage, and unpredictable conditions.

Most mobile apps can look fast for ten minutes. Very few remain dependable after an hour of use, repeated navigation, backgrounding, network shifts, and real-world pressure.

That’s because the biggest performance problems don’t happen in short sessions. They happen over time.

Memory leaks silently inflate the heap, forcing garbage collection to run more often and producing jank that feels like slowdown. Main-thread blocking leads to ANRs that feel like freezes. Crashes terminate sessions abruptly, and app size bloat increases install friction and runtime overhead.

In this dispatch, we explore why stability is the performance layer that decides whether users trust an app enough to stay - and how teams measure and prevent long-term degradation. For the full breakdown, including platform-specific patterns and production strategies, check out the deep dive: “Mobile App Stability: Memory Leaks, ANRs, Crashes, and App Size Optimization.”

👇 Read the full breakdown Mobile App Stability: Memory Leaks, ANRs & Crashes

This week, we shipped a new interactive widget inside Digia: Scratch Card.

It’s simple in concept which is - users scratch to reveal an outcome, but powerful in application. Scratch cards are one of the highest-engagement micro-interaction patterns across e-commerce, fintech, and gaming flows because they combine anticipation with tactile feedback.

This means marketing experiments, promotional reveals, loyalty rewards, and gamified onboarding moments can now be deployed instantly - without waiting for app store approvals.

👉 Do check this out at Digia Studio

👉 The complete documentation for this widget is available at: Scratch Card

Google has unveiled Gemini 3.1 Pro, a major update to its Gemini AI model family designed to tackle highly complex, multi-step problem-solving tasks. Built as the next evolution of the Gemini 3 series, this version significantly enhances core reasoning capabilities and is rolling out across consumer and developer platforms, including the Gemini app, NotebookLM, Vertex AI, and the Gemini API.

According to benchmark results shared by Google, Gemini 3.1 Pro has achieved a verified score of 77.1% on the ARC-AGI-2 benchmark, more than doubling the reasoning performance of its predecessor, Gemini 3 Pro - a notable leap in logic and abstract problem-solving strength. Early access is now available in preview form to developers and enterprises, while consumers using AI Pro and Ultra tiers will also see the upgraded intelligence in apps and research tools.