This article presents a comparative analysis of implementing AI in mobile applications, examining both On-Device (using Google ML Kit) and On-Server (using Hugging Face Inference API) approaches on Na…
AI applications require a fundamentally different tech stack than traditional software, as large language models (LLMs) produce non-deterministic outputs that need orchestration, retrieval, and evalua…
Based on the provided text, the author started Vana AI to create an Android app focused on off-grid safety and survival, integrating features like offline maps, sensors, and AI guidance. The developme…
0.1.0 release of the Agent Development Kit (ADK) for Kotlin and a specialized ADK for Android, enabling developers to build AI agents for backend and on-device applications. The Android version allows…
Google AI Studio now supports native Kotlin development for Android apps, integrating with Firebase services to create full-stack applications using the Gemini 3.5 model. The author used this new capa…
At the Google I/O 2026 Developer keynote, Google announced the Gemini 3.5 model series and upgraded its Antigravity platform to focus on "agent-first" development, enabling AI agents to independently …
At Google I/O 2026, Google announced that its web-based AI Studio can now build native Android apps in minutes using natural language, reducing a process that typically takes weeks. The apps are creat…