Mobile Development Guides
Practical guides to building and shipping mobile apps — Flutter fundamentals, real-world integrations, publishing to the stores, and where mobile technology is heading.
Flutter State Management: setState, Provider, BLoC and Riverpod compared
A practical guide to choosing state management in Flutter. What each option is good at, where each breaks down, and a decision checklist based on how your state behaves.
Flutter Performance: how to find and fix jank, slow lists and memory problems
Why Flutter apps stutter and what to do about it — rebuild scope, list building, image sizing, expensive widgets, and how to measure with DevTools instead of guessing.
Payment Gateways in Flutter: Razorpay, PayU, CCAvenue and Stripe compared
How mobile payment integration actually works, how the main gateways differ for Indian and global apps, and the security and edge-case handling that separates a demo from a production checkout.
Push Notifications in Flutter with Firebase: a complete setup guide
End-to-end FCM setup for Android and iOS — APNs keys, permissions, foreground and background handling, deep links, topics and tokens, and why notifications silently fail in production.
In-App Video and Voice Calling: Agora, WebRTC and the alternatives
What it takes to add live calling to a mobile app — how the options compare, call lifecycle and token handling, permissions, backgrounding, and how usage-based pricing works.
Health Data in Flutter: HealthKit, Google Fit and Bluetooth devices
Reading health data from three sources and turning it into one coherent model — permissions on each platform, de-duplication, Bluetooth device realities, and what App Store review checks.
Publishing an App: a step-by-step guide to the Play Store and App Store
Everything between a finished build and a live listing — signing, provisioning, TestFlight, staged rollout, store assets, data-safety forms, common rejection reasons and private distribution.
AI Features in Mobile Apps: on-device vs cloud, and what is practical today
A grounded look at adding AI to a mobile app — which tasks belong on-device, which need a server, what it costs, how to handle latency and failure, and the privacy rules that apply.