{"id":1201,"date":"2025-04-13T17:48:56","date_gmt":"2025-04-13T17:48:56","guid":{"rendered":"https:\/\/violethoward.com\/new\/google-launches-gemini-in-android-studio-for-businesses-making-it-easier-for-devs-to-design-work-apps\/"},"modified":"2025-04-13T17:48:56","modified_gmt":"2025-04-13T17:48:56","slug":"google-launches-gemini-in-android-studio-for-businesses-making-it-easier-for-devs-to-design-work-apps","status":"publish","type":"post","link":"https:\/\/violethoward.com\/new\/google-launches-gemini-in-android-studio-for-businesses-making-it-easier-for-devs-to-design-work-apps\/","title":{"rendered":"Google launches Gemini in Android Studio for Businesses, making it easier for devs to design work apps"},"content":{"rendered":" \r\n
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Though Apple remains the dominant smartphone maker in the U.S., Google\u2018s Android mobile operating system is a hit with enterprises and businesses thanks to its flexibility and lower price point. One recent survey by strategic advisory Stratix\u00a0found that 60 percent of corporate-owned devices run the tech.<\/p>\n\n\n\n

Now, Google wants to use its Gemini AI model family to help enterprise app developers make even more workplace apps more easily in the Android ecosystem. That\u2019s why today at its Google Cloud Next 2025 conference in Las Vegas, the company announced Gemini in Android Studio for businesses, a new subscription-based offering.<\/p>\n\n\n\n

The rollout aims to address the growing demand for privacy-conscious, secure and customizable AI integration within large organizations and development teams.<\/p>\n\n\n\n

This business version of Gemini builds on the core AI capabilities already familiar to Android developers but introduces enhanced features for organizations managing sensitive codebases and workflows. With this move, Google brings AI-assisted coding into enterprise-grade environments without compromising on data governance or intellectual property protection.<\/p>\n\n\n\n

Focused on data privacy and control<\/h2>\n\n\n\n

One of the key pillars of the business offering is its emphasis on security. Google has implemented a strict data governance policy ensuring that company code, developer inputs, and AI-generated suggestions remain confidential. <\/p>\n\n\n\n

These assets do not train shared models or support unrelated product development. Organizations maintain full ownership and control of their intellectual property.<\/p>\n\n\n\n

To support secure deployment at scale, the offering includes enterprise-grade management capabilities such as Private Google Access, VPC Service Controls and granular IAM (Identity and Access Management) permissions through Enterprise Access Controls. These tools allow companies to manage access and usage across their development teams tightly.<\/p>\n\n\n\n

Tailored coding support <\/h2>\n\n\n\n

The enterprise edition of Gemini includes capabilities for codebase integration, allowing AI assistance to be customized using a company\u2019s internal repositories hosted on GitHub, GitLab, or Bitbucket. <\/p>\n\n\n\n

This feature applies to both cloud and on-premise installations. By aligning with the organization\u2019s actual codebase, Gemini can generate more accurate and context-relevant code completions, suggestions and chat responses.<\/p>\n\n\n\n

The benefit of this customization is tangible. According to internal research by Turing, enabling code customization with Gemini Code Assist Enterprise results in a nearly 70% improvement in code acceptance rates compared to using the base model alone.<\/p>\n\n\n\n

Built for the Android ecosystem<\/h2>\n\n\n\n

Gemini in Android Studio remains tightly aligned with the Android development lifecycle. Developers gain access to tools like:<\/p>\n\n\n\n