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Google DeepMind

Recreating a 70-year love story frame by frame AlphaGenome Atlas: a high-resolution map of human DNA Backing 16 green AI projects in Asia-Pacific Introducing WeatherNext 3, our most advanced and accurate global weather AI model The latest AI news we announced in August 2026 Ask a Scientist: How do researchers use AI to predict a cyclone? Omni experts share what excites them most about the model. AMIE, our research medical AI system, demonstrates real-time clinical video consultation capabilities in a first-of-its-kind study. See what 5 builders are making with Gemini Omni Our WeatherNext 2 AI model demonstrated a massive leap forward in predicting cyclones. The latest AI news we announced in July 2026 Introducing Gemini Robotics ER 2 We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control. Reconstructing Pelé’s “lost” goal We're rolling out AlphaEvolve widely to solve Google Cloud customers' hardest problems. The latest AI news we announced in June 2026 Google DeepMind and A24 announce first-of-its-kind research partnership New research shows how AMIE, our medical AI, could help manage health conditions. The latest AI news we announced in May 2026 9 demos of Gemini Omni and Gemini 3.5 in action Running Guide agent: A step towards running unbounded Making it easier to understand how content was created and edited Simulate real-world places with Project Genie and Street View Gemini for Science: AI experiments and tools for a new era of discovery We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks. Find out how AlphaEvolve has gone from research to solving real-life problems. Join the new AI Agents Vibe Coding Course from Google and Kaggle Gemini Robotics ER-1.6 enhances reasoning to help robots navigate real-world tasks. The latest AI news we announced in March 2026 Measuring progress toward AGI: A cognitive framework
What does “full-stack” AI actually mean?
Lindsey Lanquist · 2026-08-22 · via Google DeepMind

If you’ve tried your hand at vibe coding — or even full-blown web development — you’ve probably heard the term “full-stack.” But what does it actually mean? We asked Paige Bailey, an engineering lead at Google DeepMind, to explain the concept — and how it shows up in the Google tech you use every day.

Paige helpfully breaks down full-stack development: infrastructure, security, research, models & tooling, and products. Each one serves a crucial purpose. And all five layers work together to make Google’s AI products faster, more secure, and more helpful for users, developers, and customers.

Watch the video below to see Paige’s full explanation and learn about our full-stack approach to AI.