This content originally appeared on DEV Community and was authored by Paige Bailey
Hey DEV community! 
We’re the team behind Google AI Studio and the Gemini API at Google DeepMind.
We’ll be answering your questions live on August 28, 2025.
Add your questions to the comment section below! Questions with the most reactions will be prioritized so please get them in early.
Who we are:
- Paige Bailey (@dynamicwebpaige): AI Developer Relations Lead
- Patrick Loeber (@pat_loeber): Developer Relations Engineer
Full list of participating team members coming soon!
What we work on:
AI Studio: Our developer platform where you can experiment with Gemini models, including access to our latest experimental releases.
Gemini API: APIs that serve millions of developers and process trillions of tokens.
Multi-modal & Open-Source Models: Advanced AI models including Veo (video generation), Imagen (image generation), Lyria (music creation), and Gemma (open-source language models).
Developer Experience: Making Google’s most advanced AI models easier to integrate and use.
Community: Building resources, documentation, and support for the global developer community.
Please don’t ask us about:
- Unreleased Google products or detailed internal roadmaps
- Proprietary technical implementations
- Confidential business information
- Personal/private information
Get started with AI Studio:
If you haven’t tried AI Studio yet, it’s the easiest way to start building with Gemini. You can turn on features like code execution, use extended context (2M+ tokens), and access our latest experimental models – all for free to get started!
We’ll be rotating through answers throughout the day, so you might hear from different team members. Let’s dive in! 
This content originally appeared on DEV Community and was authored by Paige Bailey
AI Studio & Gemini API: Features and how to get started
Working at Google DeepMind: What it’s like being at the intersection of research and developer tools
Building AI applications: Best practices, common challenges, scaling tips
Career advice: Breaking into AI/ML, developer relations, product management
The future of AI development: Where we see the space heading
Developer experience: How we think about making AI accessible