Posted by Sandhya Mohan – Product Manager

To empower Android developers at work, we’re excited to announce a new offering of Gemini in Android Studio for businesses. This offering is specifically designed to meet the added privacy, security, and management needs of small and large organizations. We’ve heard that some people at businesses have additional needs that require more sensitive data protection, and this offering delivers the same Gemini in Android Studio that you've grown accustomed to, now with the additional privacy enhancements that your organization might require.

Developers and admins can unlock these features and benefits by subscribing to Gemini Code Assist Standard or Enterprise editions. A Google Cloud administrator can purchase a subscription and assign licenses to developers in their organization directly from the Google Cloud console.

Your code stays secure

Our data governance policy helps ensure customer code, customers' inputs, as well as the recommendations generated will not be used to train any shared models. Customers control and own their data and IP. It also comes with security features like Private Google Access, VPC Service Controls, and Enterprise Access Controls with granular IAM permissions to help enterprises adopt AI assistance at scale without compromising on security and privacy. Using a Gemini Code Assist Standard or Enterprise license enables multiple industry certifications such as:

• SOC 1/2/3, ISO/IEC 27001 (Information Security Management)
• 27017 (Cloud Security)
• 27018 (Protection of PII)
• 27701 (Privacy Information Management)

More details are at Certifications and security for Gemini.

IP indemnification

Organizations will benefit from generative AI IP indemnification, safeguarding their organizations against third parties claiming copyright infringement related to the AI-generated code. This added layer of protection is the same indemnification policy we provide to Google Cloud customers using our generative AI APIs, and allows developers to leverage the power of AI with greater confidence and reduced risk.

Code customization

Developers with a Code Assist Enterprise license can get tailored assistance customized to their organization’s codebases by connecting to their GitHub, GitLab or BitBucket repositories (including on-premise installations), giving Gemini in Android Studio awareness of the classes and methods their team is most likely to use. This allows Gemini to tailor code completion suggestions, code generations, and chat responses to their business's best practices, and save developers time they would otherwise have to spend integrating with their company's preferred frameworks.

Designed for Android development

As always, we've designed Gemini in Android Studio with the unique needs of Android developers in mind, offering tailored assistance at every stage of the software development lifecycle. From the initial phases of writing, refactoring, and documenting your code, Gemini acts as an intelligent coding companion to boost productivity. With features like:

• Build & Sync error support: Get targeted insights to help solve build and sync errors

• Gemini-powered App Quality Insights: Analyze crashes reported by Google Play Console and Firebase Crashlytics

• Get help with Logcat crashes: Simply click on “Ask Gemini” to get a contextual response on how to resolve the crash.

In Android Studio, Gemini is designed specifically for the Android ecosystem, making it an invaluable tool throughout the entire journey of creating and publishing an Android app.

Check out Gemini in Android Studio for business

This offering for businesses marks a significant step forward in empowering Android development teams with the power of AI. With this subscription-based offering, no code is stored, and crucially, your code is never used for model training. By providing generative AI indemnification and robust enterprise management tools, we're enabling organizations to innovate faster and build high-quality Android applications with confidence.

Ready to get started? Here’s what you need

To get started, you'll need a Gemini Code Assist Enterprise license and Android Studio Narwhal or Android Studio for Platform found on the canary release channel. Purchase your Gemini Code Assist license or contact a Google Cloud sales team today for a personalized consultation on how you can unlock the power of AI for your organization.

Note: Gemini for businesses is also available for Android Studio Platform users.

We appreciate any feedback on things you like or features you would like to see. If you find a bug, please report the issue and also check out known issues. Remember to also follow us on X, LinkedIn, Blog, or YouTube for more Android development updates!

Considering how long the world has been on fire, it's amazing that it hasn't burnt down to charcoal yet. It continues to worry us over what its sparks will jump to next. It feels we're only a virus, policy or racist bastard away from a new calamity, at any time. — Read the rest

The post Returning to Really Simple Syndication brought peace to my day appeared first on Boing Boing.

Tyler Flint, CEO of qpoint.io, joins host Robert Blumen for a conversation about managing external vendor dependencies, including several best practices for adoption. They start with a look at internal versus external services, including details such as the footprint of external services within a micro-services application, and difficulties organizations have tracking their service consumption, quantifying service consumption, and auditing external services. Tyler also discusses the security implications of external services, including authentication and authorization. They examine metrics and monitoring, with recommendations on the key metrics to collect, as well as acceptable error rates for external services. From there they consider what can go wrong, how to respond to external service outages, and challenges related to testing external services. The episode wraps up with a discussion of qPoint’s migration from a proxy-based solution to one based on eBPF kernel probes.

Brought to you by IEEE Computer Society and IEEE Software magazine.

Download audio: https://traffic.libsyn.com/secure/seradio/663-tyler-flint-managing-external-apis.mp3?dest-id=23379

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric value. A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric value with an assurance such as, "The predicted y value is 0.6789 and there's roughly a 90% chance the prediction will be greater than or equal to the true y value."

There’s some good content today on strategic planning, managing our workloads, and what we should be learning next.

[article] AI is the future, but most companies’ plans are short-term. Nothing shocking or brand new here, though still a useful reminder to plan for more than short-term wins.

[article] What Agentic Workflows Mean to Microservices Developers. A smart question for everyone to ask is “how does my work with [X] now support AI and agents?” This post looks at your work building services and using API gateways.

[blog] MCP Client and Server with the Java MCP SDK and LangChain4j. Guillaume wrote a terrific post that shows you exactly how to build an Model Context Protocol server and client that provides tools that support an LLM.

[blog] Software Architecture for Developers. Every developer is going to need become (partially) an architect. I don’t see another path now that LLMs are such competent coders. So what does that look like? This post sheds light on what you’d need to consider.

[article] Meta releases Llama 4, a new crop of flagship AI models. Two of these new models were released last Saturday and looked impressive. There are now questions about the benchmarks and overall vibes of the models, but a strong achievement nonetheless.

[blog] Google announces Sec-Gemini v1, a new experimental cybersecurity model. This looks very cool. For it to remain helpful for digesting the latest threats, I’d imagine that we’d need to ship new versions often.

[article] When You’re Overloaded—and Delegating Isn’t an Option. Good advice here. Are you swamped but can’t delegate the work? Here are a few viable paths.

[blog] Is the .NET Ecosystem in Crisis? Probably not crisis, although there are changes to popular OSS projects (now going commercial) that has .NET devs uneasy.

[article] Claude Code and the Art of Test-Driven Development. I liked the walkthrough here of using an AI assistant to help you do TDD.

[article] In their own words: Microsoft leaders, past and present, on the company’s legacy and impact. Fifty years old! Microsoft stands as an massive success story, and this post gets perspective from those who participated along the way.

[article] Where and how developers learn in 2025? Books, forums, newsletters, and LLMs are a good tools to leverage this year.

[blog] Evaluating progress of LLMs on scientific problem-solving. Our research team shared a new benchmark to measure the potential of LLMs in helping scientists.

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