Future of Mobile App Development: AI Agents, Edge AI, Spatial Computing, and On-Device AI

1. Take a photograph.
2. Ask a voice question.
3. Provide additional text instructions.
4. Receive a generated response.
5. Ask the application to perform an action.

This creates richer interfaces for industries such as:

• Healthcare
• Education
• Manufacturing
• Retail
• Travel
• Automotive
• Field services
• Financial services

For developers, this means application architecture must support multiple data streams and potentially different AI models operating together.

Mobile AI Will Need Better Context Management

An intelligent application needs context to behave consistently.

Context may include:

• Current screen
• User preferences
• Previous interactions
• Device state
• Location
• Recent activity
• Business data
• Retrieved documents
• Active tasks

However, sending all available context to a model is neither efficient nor secure.

A strong architecture selectively retrieves the context required for each task.

This can involve:

• Short-term conversation memory
• Long-term user preferences
• Retrieval systems
• Structured application state
• Semantic search
• Context filtering