Mobile app deployment is where many promising ideas start to encounter real-world friction. What worked as a prototype suddenly has to meet the expectations of app store ecosystems, subscription models, and an increasingly complex stack of services. In this third part of the Pennies-AI journey, weโll explore what it actually takes to navigate the maze of mobile deployment and monetization. …
Building an app and a website is a significant commitment. Database design, stack selection, and architecture decisions have long-lasting consequences, and supporting both web and mobile interfaces adds another layer of complexity. Even with many years of experience building enterprise systems, wearing every hat (from engineering to operations) was challenging…
This blog walks through building a clean, modular service layer in Flutter to keep mobile apps scalable, maintainable, and resilient to change. Using real examples with third-party APIs, it demonstrates how to abstract logic, structure code for API calls, and easily swap data sources without major rewrites. Youโll also learn strategies like creating request/response classes and centralizing error handling to reduce redundancy and improve code quality.
Deploying a mobile app is often more difficult than building it. In this guide, we simplify the confusing, often poorly documented process of deploying a Flutter app for internal testing. Learn step-by-step how to distribute your app through Google Play Internal Release and Apple TestFlight, so real-world testers can start using your app sooner.
Are you developing an AI-powered application but unsure whether Flutter or .NET MAUI is the right framework for your project? The decision you make can significantly impact performance, scalability, and development efficiency, so itโs essential to choose wisely. Both Flutter and .NET MAUI offer strong cross-platform development capabilities, but they have distinct differences when it comes to AI model support, …