https://speakerdeck.com/marinacoelho 2026-02-20 09:49:25 -0500 Tue, 08 Sep 2026 00:00:00 -0400 https://speakerdeck.com/marinacoelho/the-mixtape-manifesto https://speakerdeck.com/marinacoelho/the-mixtape-manifesto Wed, 01 Jul 2026 00:00:00 -0400 https://speakerdeck.com/marinacoelho/coelho-marina-260709 https://speakerdeck.com/marinacoelho/coelho-marina-260709 The way we build software has changed. Today, the most successful developers aren't just writing code, they are orchestrating AI tools to build better and faster. This hands-on content is a deep dive into this modern "Builder Stack”, where you will learn how to build with AI Studio, Stitch, Firebase and Cloud. The way we build software has changed. Today, the most successful developers aren't just writing code, they are orchestrating AI tools to build better and faster. This hands-on content is a deep dive into this modern "Builder Stack”, where you will learn how to build with AI Studio, Stitch, Firebase and Cloud. Mon, 16 Mar 2026 00:00:00 -0400 https://speakerdeck.com/marinacoelho/building-ai-apps-with-the-google-ecosystem https://speakerdeck.com/marinacoelho/building-ai-apps-with-the-google-ecosystem Building an AI feature is just the beginning; scaling it into a production-ready application is where the real challenge begins. Using a meal-planning app, you will see how to bridge the gap between a great idea and a polished product using Google’s Gemini models, Firebase AI Logic, and Remote Config. This session will cover: - How to analyze images of a fridge, cupboard or grocery store shelf, identify ingredients and generate meal recommendations. - How to create mouth-watering visuals with different AI models based on generated recipes. - How to keep prompts secure in the backend and use Remote Config to deliver new prompt versions without requiring an app update or affecting the current experience. Whether you are still on the prototyping phase, or trying to figure out how to manage AI lifecycle in a live app, this session will provide you with a roadmap to move from experimental code to a reliable production environment. Building an AI feature is just the beginning; scaling it into a production-ready application is where the real challenge begins. Using a meal-planning app, you will see how to bridge the gap between a great idea and a polished product using Google’s Gemini models, Firebase AI Logic, and Remote Config. This session will cover: - How to analyze images of a fridge, cupboard or grocery store shelf, identify ingredients and generate meal recommendations. - How to create mouth-watering visuals with different AI models based on generated recipes. - How to keep prompts secure in the backend and use Remote Config to deliver new prompt versions without requiring an app update or affecting the current experience. Whether you are still on the prototyping phase, or trying to figure out how to manage AI lifecycle in a live app, this session will provide you with a roadmap to move from experimental code to a reliable production environment. Fri, 20 Feb 2026 00:00:00 -0500 https://speakerdeck.com/marinacoelho/from-ai-prototype-to-a-production-app https://speakerdeck.com/marinacoelho/from-ai-prototype-to-a-production-app