Dean Djermanović

Android Tech Lead & Consultant

Dean is an Android Engineer based in Zagreb, Croatia. He works as an Android consultant and freelancer. With 8 years of experience in Android development, he focuses on building real-world products for clients and leading mobile teams. In the past, Dean contributed to numerous tutorials and Android books as part of the kodeco.com (formerly RayWenderlich.com) tutorial team. While he used to be more active in writing and content creation, these days he’s more focused on shipping features and solving real-world problems. He occasionally speaks at tech meetups and conferences. Outside of work, he enjoys biking, boxing and hitting the gym.

Koog Roundtable: Advancing Kotlin Agent Development

AI agents are starting to move from research prototypes into practical apps—and with Koog, an open-source Kotlin framework for building agents on the JVM, Android developers now have new ways to experiment. But what does it really mean to run an agent on-device, and where does it add value in mobile workflows? In this roundtable, we’ll explore how frameworks like Koog fit into Android development, the opportunities and challenges of connecting agents to LLMs, and what kinds of apps might benefit most from this approach. Kick-off questions: > What kinds of use cases make the most sense for AI agents on Android today? > How do you see frameworks like Koog fitting into the broader Android development ecosystem? > What are the main challenges in connecting agents to LLMs—latency, cost, privacy, or something else? > How do on-device constraints (battery, performance, offline use) shape the design of mobile AI agents? > Do you think agents on Android will become mainstream, or remain a niche for specific applications?

Building a Weather Agent on Android with Koog

In this session, you will learn the basics of Koog, the new open‑source Kotlin framework for building AI agents on the JVM. I’ll guide you through building a small Android app that uses Koog to ask a language model for weather forecasts and then displays the results. We’ll cover: - how to add Koog to an Android project setup - how to write a simple single‑run agent that talks to a weather API - how to connect the agent to an LLM (like OpenAI or Google Gemini) - how to show the forecast in a basic Compose UI No prior experience with Koog is needed. By the end you will have a simple working Android app and code that shows how to build your own agents in Kotlin.