AI agents in Android app development: AI-powered apps vs agent-enabled apps
How AI-powered Android apps differ from agent-enabled ones, and where AppFunctions, Computer Control, Gemini Nano and Firebase AI Logic fit, checked against Google's docs.
Aman Mathur
Software Engineer | Flutter
Software Engineer with 3+ years building high-performance, AI-powered cross-platform mobile apps for global clients.
Expertise
- Mobile App Development
- AI-Powered Apps
- Cross-Platform Development
- Dart & State Management
- UI/UX Design
- Performance Optimisation
- API Integration
Articles by Aman Mathur
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Google brings A2UI to AndroidX: AI-generated native UI with Jetpack Compose
Google's A2UI libraries reached AndroidX on 23 September 2026. What the protocol does, the libraries, the Material 3 catalog and what alpha status means for your app.
How to build an Apple Watch app: watchOS setup, iPhone integration, HealthKit, testing and release
A complete guide to building an Apple Watch app in 2026: choosing the architecture, Xcode 27 setup, Watch Connectivity, HealthKit workouts, background limits, testing and release.
iOS 27.2 beta 4 release notes: StoreKit fixes, ATT changes and a developer guide
iOS 27.2 beta 4 (24B5110a) explained: ATT's EU prompt and method rename, three StoreKit testing fixes, the UIKit margin change, known issues and a testing checklist.
Xcode 27 agent security: how to control what AI coding agents can access
Xcode 27's filesystem security layer for coding agents explained: how it works, why you must turn it on, the macOS 27 caveat, permissions, plans and the MCP preview.
Xcode 27 coding agents: solving context, verification and tooling problems
How Xcode 27's coding agents use project context, plans, simulators, MCP tools, skills and plug-ins to close the gaps of chat-style AI coding, with setup commands.