Developing Scientific & Technical Applications with Agentic AI Using Google Antigravity
July 7, 2026
Online
Embedded Files
About the Session
For scientific and technical developers, the bottleneck to discovery is rarely a lack of ideas—it is the friction of writing, debugging, compiling, and optimizing complex code. The arrival of Google Antigravity 2.0, leveraging the new Gemini 3.5 Flash model optimized for coding and agentic CI, completely changes this dynamic by introducing an agent-first IDE designed specifically for the rigorous demands of advanced computing.
Join the Google Cloud Advanced Computing Community for an interactive, demo-driven session showcasing how Antigravity 2.0 transforms the software development lifecycle for high-performance computing. We will move past the basics to look at how this platform addresses the unique challenges of building highly parallelized and accelerated software.
What We Will Cover:
Overview of the Antigravity 2.0 Environment: We will share the features and relationships between the Antigravity 2.0 app, the Antigravity IDE, and the Antigravity CLI. We will also provide an overview of the SDK and the new Science Skills.
Using Antigravity IDE for Scientific/Technical Code: We will show how the IDE can be used for traditional scientific/technical code, leveraging it’s harness and agents in the background to assist and accelerate coding. We will show the completely redesigned environment where autonomous coding agents work natively alongside your workspace, acting as tireless, expert co-developers.
Taming MPI and GPU Complexity: The core of our presentation will focus on real-world advanced computing code. We will demonstrate how Antigravity IDE accelerates the development and debugging of MPI parallel applications and GPU-accelerated applications. Watch autonomous agents analyze race conditions, locate memory leaks across multi-node execution blocks, and suggest optimal CUDA or OpenMP directives to maximize performance.
Whether you are writing distributed-memory physics simulations or tuning a massive deep-learning framework, this session will show you how to leverage Antigravity 2.0 to eliminate boilerplate, crush debugging cycles, and bring your technical software to production faster.
Speaker
Adnan Khaleel
Outbound Product Manager, Google Cloud
Adnan Khaleel is driven by a single goal: making powerful technology accessible to a broader range of users. He works closely with engineering teams to translate customer needs into product strategy, ensuring that tools are intuitive and easy to consume. This passion has been a constant throughout his more than 20-year career at innovators like Intel, Dell, and Cray. He has always focused on creating new growth engines—from leading Dell’s HPC democratization strategy to pioneering Cray's entry into the AI and data analytics space.
Today at Google, his core mission is to scale these solutions globally by creating effective go-to-market strategies. While fostering a vibrant partner ecosystem is one important way he achieves this, his main focus is on empowering users directly. He is always happy to connect with anyone passionate about solving big problems in this space.
Google Sites
Report abuse