We're looking for experience-based talks, the information that can not be found in the documentation or easily googled. Share your story, your struggle, your research results, your experience with the frontier tool or technology. This event is IN-PERSON and we are looking for speakers who will speak at the event, physically.

Kindly adhere to the topics below to maximize the chances of your talk being selected.

You can submit as many talks as you want. This year we accept submissions in one format:

40 minute technical talks or workshops/codelabs

There will be 3 tracks for the event with speakers in each track and keynotes on that day.

Listed below are the suggested themes which will be covered:

1. Android 

Excellent experiences

Grow, retain, and keep your most valuable users engaged on premium devices and across screens.

Build delightful, performant, safe and adaptive apps using:

• Latest Android platform APIs e.g. Live updates, widgets, using edge to edge
• Camera and Media APIs
• Material Adaptive Layouts
• Android XR SDK Preview 2

Powered by AI

Integrate cutting-edge multimodal models into Android apps with simple and intuitive SDK solutions from Google.

Create new experiences, powered by AI using:

• Firebase AI Logic Android SDK
• Camera and Media APIs
• On device with Gemini Nano using GenAI APIs part of ML Kit for summarisation, proofread and others

Developer productivity

Lower the cost of development with intelligent tools, APIs, and best practices.

Build high quality apps, faster using:

• Gemini in Android Studio
• Jetpack Compose
• Kotlin Multiplatform

2. Flutter

• Flutter usage in Firebase Studio
• Building agentic apps in Flutter
• Exploring AI-powered development of Flutter apps
• Building apps with high iOS fidelity

3. Firebase

• Firebase Studio
• Vertex AI in Firebase
• Genkit
• Data connect
• App hosting
• Firebase hosting
• AI Monitoring

4. Web Technologies

AI for Web Developers

• Built-in AI APIs
• Web AI Best Practices
• AI enhanced web apps

Browser Extensions

• New extension features
• Extension testing and standardization work

CSS & UI

• Engine-enabled UI components
• Quality of life improvements
• User-centered design

Performance

• Core Web Vitals
• Soft navigation performance
• DevTools Performance

Identity

• Better forms
• Passkeys
• FedCM

Fugu/PWA APIs

• Powerful Web APIs
• Hardware APIs
• WebAssembly & Wasm

DevTools & Browser Automation

• Debugging trends and UX in DevTools
• Testing pain points

Angular topics:

• Angular v20
• Reactivity
• Angular Signals
• Hydration
• SSR
• Enhanced Debugging Tools

5. Go

Go and AI

AI usage is growing rapidly, both in products and in developer workflows. We want to encourage developers to share their experiences of using AI with Go, whether it is integrating AI into existing services (experiences with client SDKs, etc) or using AI dev tools to write Go.

New Features and Experiments

The Go team continues to iterate on the language with new features and experiments. GDEs are an especially useful conduit for feedback on these new ideas, given their existing expertise. We'd love to hear about your experience trying out experimental.

6. Earth Engine

Technology

• Earth Engine and BigQuery integrations (ST_RegionStats, Reading/querying BigQuery tables into Earth Engine)
• Python interfaces (BQ Studio notebooks, Colab)
• Python workflows (Cloud Functions, Cloud Run, Cloud Scheduler, Compute Engine)
• GCS for data IO and management, scaled IO with manifests and CLI uploads
• Image classification with Vertex AI and Tensorflow/Pytorch

Domain expertise

• Sustainability dataset development
• Methodological/algorithm development

6. Google Cloud

Serverless & Containers

• Kubernetes Engine (GKE)
• Cloud Run
• Cloud Functions
• Kubernetes
• Istio
• App Engine
• Artifact Registry
• Containers
• Docker
• Hybrid Connectivity

App Development

• Cloud Code
• Gemini Code Assist
• Cloud Composer
• Cloud Debugger
• Cloud Shell
• Cloud Source Repositories
• DevTools
• PowerShell

Data

• BigQuery
• AlloyDB
• Analytics Hub
• Bigtable
• Cloud Data Fusion
• Cloud Data Loss Prevention
• Data Analysis
• Data Catalog
• Dataflow
• Dataplex
• Dataproc
• Datastore
• Datastream
• Datalab
• Database Migration Service
• Data Loss Prevention
• Dataprep
• Cloud Spanner
• Cloud SQL
• Looker

AI tools

• Cloud AutoML
• Translation AI
• Vertex AI
• Vertex AI Agent Builder
• Video AI
• Vision AI
• Cloud Healthcare API
• Deep Learning Containers
• Dialogflow
• Speech-to-Text
• Text-to-Speech
• Translate API
• Video Intelligence API
• Vision API