
Tech • AI • Robotics
Google unveiled a sweeping push toward agent-driven software development, introducing Antigravity, managed AI agents, and new tools that automate coding, deployment, and app creation across platforms.
Google highlighted a transition from assistive AI to autonomous agents capable of executing complex tasks under user direction. These agents can research, write code, generate media, and deploy applications with minimal manual orchestration, signaling a broader shift in how software is built.
The centerpiece is Antigravity, an agentic development platform that enables developers to build and run AI agents across environments. It supports web, Android, and cloud workflows, and can operate either on Google infrastructure or external systems, emphasizing flexibility and reduced vendor lock-in.
A new Managed Agents feature in the Gemini API allows developers to create agents with a single API call. Each agent runs in a secure, isolated Linux environment hosted by Google, eliminating the need to manage infrastructure while enabling scalable production deployments.
The open model Gemma 4, released under an Apache 2 license, reached 100 million downloads in its first month, pushing total Gemma downloads beyond 500 million. The model is optimized for reasoning and agent workflows and is lightweight enough to run offline on mobile devices.
Google AI Studio now supports full app lifecycles, from prompt-based prototyping to deployment on Cloud Run without requiring billing setup. Developers can generate apps, deploy them instantly, and even publish directly to Android devices and the Google Play Store.
Demonstrations showed agents generating complete products, such as a fully produced radio show with scriptwriting, voice synthesis, music generation, cover art, and metadata. These workflows are defined באמצעות simple markdown instructions rather than traditional code orchestration.
The new Antigravity 2.0 desktop app enables multiple agents to collaborate across projects simultaneously. Features include dynamic subagents for parallel task execution and scheduled tasks that allow agents to run autonomously on recurring intervals.
Google introduced the Antigravity CLI and SDK, giving developers full control over agent behavior in terminal environments. This allows integration into existing workflows, including remote servers and CI pipelines, while maintaining the same agent capabilities.
Agents can now handle complex ML workflows such as fine-tuning models using techniques like LoRA. Demonstrations showed a custom Gemma 4 model trained and deployed in minutes to generate precise outputs, such as executable bash commands for CI systems.
Antigravity now includes official Android support, enabling developers to build Kotlin apps, test on emulators or real devices, and optimize performance using tools like R8. Agents can also generate UI, fix crashes, and implement features such as deep linking and on-device AI.
A new Migration Assistant in Android Studio can convert apps from iOS, web, or React Native into native Android projects. The system maps features, converts assets, and applies modern Android frameworks, reducing migration time from weeks to hours.
For the web, Google introduced Modern Web Guidance, a system that equips agents with up-to-date knowledge of browser APIs. Combined with WebMCP, developers can make websites directly controllable by browser-based agents for automated interactions.
Updates include Chrome DevTools for Agents, enabling AI to test and debug code autonomously, and an experimental HTML-in-Canvas API that allows interactive DOM elements inside canvas environments, blending advanced graphics with accessibility.
Antigravity is being integrated with Google Cloud and will roll out to Gemini Enterprise customers. Domain-specific skill bundles, starting with science and research, aim to tailor agents for specialized industries.
Google announced the Build with Gemini XPRIZE hackathon, offering $2 million in prizes for applications addressing real-world challenges. A new $100/month AI Ultra plan and bonus credits were also introduced to encourage adoption.
Google’s latest announcements position AI agents as central to the future of software development, aiming to automate everything from coding to deployment while lowering technical barriers for individuals and enterprises alike.
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