Integrating Google Gemini into an Android app sounds simple… until you actually try to do it properly in a real Jetpack Compose project.

I recently spent a good amount of time building a clean, production-ready Gemini integration in Kotlin. Here’s what I learned and the patterns that actually worked.

  1. Setting up the Gemini API the right way First, get your API key from Google AI Studio.

Then add the official dependency:

kotlin
// build.gradle.kts
implementation("com.google.ai.client.generativeai:generativeai:0.9.0") // check for latest

  1. Basic text generation (the clean way) Here’s a simple but solid repository pattern I ended up using:

kotlin
class GeminiRepository(private val apiKey: String) {
private val generativeModel = GenerativeModel(
modelName = "gemini-1.5-flash", // or gemini-1.5-pro
apiKey = apiKey
)

suspend fun generateText(prompt: String): String { return try { val response = generativeModel.generateContent(prompt) response.text ?: "No response" } catch (e: Exception) { "Error: ${e.message}" } }

}

  1. Important things most tutorials skip Always handle rate limits and network errors properly Use gemini-1.5-flash for most mobile use cases (faster + cheaper) Never hardcode the API key (use BuildConfig or local.properties) Streaming responses feel much better in chat-style UIs Multimodal (image + text) needs extra care with Bitmap handling
  2. Jetpack Compose UI tip For a chat-like experience, I recommend using a simple LazyColumn + TextField combination and collecting the response with a ViewModel + StateFlow.

Final Thoughts
Getting a basic Gemini call working is easy.
Making it clean, reusable, and production-ready takes more time than expected (error handling, prompt engineering, Compose state management, etc.).

I ended up packaging all the battle-tested Kotlin code, good system prompts, and Compose examples I used into a small pack so I don’t have to rewrite them again.

You can check it out here if you’re interested:
→ Android Dev's Gemini API Integration & Prompt Pack

Would love to hear how others are using Gemini in their Android apps. Drop your experience or questions below!