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AI NewsGoogle’s AI Studio now lets anyone build Android apps in minutes

Google’s AI Studio now lets anyone build Android apps in minutes

2:51 AM IST · May 20, 2026

Google’s AI Studio now lets anyone build Android apps in minutes

The AI coding boom is now coming directly for Android app development. On Tuesday, Googleannouncednew native Android app creation capabilities in its web-basedGoogle AI Studio,shrinking a process that takes weeks of setup and coding down to minutes. The company also said that consumers will be able to use Gemini AI to find the apps they need, both on the Play Store and the web, expanding opportunities for developers to have their apps discovered. Google says the new capabilities could make sense for anyone from a seasoned developer looking to prototype a new app quickly to a first-time creator. By offering the ability to essentially vibe-code Android apps via web-based tools, Google is ramping up the competition with other AI-powered development tools, like Cursor, Replit, Lovable, Claude Code, and others, while also opening up Android development to a new type of user: a non-technical creator. The news also represents an expansion of Google’s earlier addition ofAI-powered coding with Geminiin itsdesktop versionof Android Studio. The apps are built with theKotlinprogramming language using Google’s Jetpack Compose toolkit and with support integration with hardware sensors like GPS, Bluetooth, and NFC, the company says. However, the resulting creations, for now, are only meant to be used personally, as publishing for family and friends is still on the roadmap. The company suggests the technology could be used for the creation of personal utilities and simple social apps, hardware-enabled experiences, or AI-powered experiences. For now, would-be app developers can use the embedded Android Emulator directly in a web browser to preview and interact with the app as it’s being built. Users can then install the app on their Android phone over a USB cable connected to their computer, using the integrated Android Debug Bridge (adb). For those looking to take their project further,AI Studiocan automatically create the app record, package the bundle, and upload it to an internal testing track inGoogle Play Consolefor developers. This allows users to continue to iterate on their app while updating on their devices along the way. Those who want to take the next steps to publishing the app more publicly can hand off this version of the project to Android Studio by downloading a zip file and exporting it directly to GitHub. In time, Google plans to allow creators to publish their apps for use by family and friends and will add support for Firebase integrations (Firestore, Firebase Auth, Firebase App Check, and other tooling). In doing so, the company is imagining an Android app ecosystem where users find apps from among their own network of friends, not just the Play Store. However, for the latter, Google is infusing AI into the experience here, too. A new “Ask Play” AI-powered overlay will allow users to discover new apps by having natural conversations with AI within the Play Store. Perhaps more importantly, apps will begin to be surfaced with users’ conversations with Google’s Gemini virtual assistant, exposing developers’ apps to millions of users. This will roll out in the weeks ahead across Gemini on the web and on Android. Later this year, Gemini will also surface over 450,000 movies and TV shows, plus where to livestream sports, which can directly link users from their queries to a developer’s Android app with the content in question. While Google previewed a number ofAndroid-related announcements last week, it held back on sharing the news of the native Android app development until Tuesday’s start of its annual developer conference, Google I/O. That suggests the company believes this is bigger news and more closely tied to its idea of putting AI to real-world use, as was the larger theme of this year’s event, where AI was spread across Google products, from workspace productivity apps to AI tools, search, mobile apps, and more.

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Rocket engine startup Impulse raises $500 million to hire people, not AI

Rocket engine startup Impulse raises $500 million to hire people, not AI

Impulse Space, a startup founded by SpaceX engine guru Tom Mueller to build highly-maneuverable spacecraft, announced a $500 million Series D this week that it will use to hire as many as 200 new employees. The round, led by 137 Ventures and BANNER VC, with participation from Founders Fund, Lux Capital, and Linse Capital, reflects investor interest in space and defense tech as the U.S. government hurls cash at national security problems and SpaceX gears up for its IPO. Impulse is focused on in-space mobility. The company has developed a highly maneuverable platform called Mira that is targeted at U.S. Space Force buyers. It’s also building Helios, a vehicle designed to carry satellites rapidly to high orbits after they are dropped off in space closer to Earth. President and COO Eric Romo told TechCrunch that the new capital will help the company build and test more space vehicles and emphasized the company’s hiring plans at a time when aerospace talent is in high demand. While the company’s software teams are adopting AI coding tools, Romo said that when it comes to solving engineering problems in the real world, deep learning models aren’t quite ready for prime time. As the 13th employee at SpaceX back in 2003, Romo’s job was creating computer simulations of the company’s engine design to assess its performance. “I considered it success if I got within 20% of the right answer, because the simulations were just not that good,” Romo said. “They’ve improved, but they’ve not improved that much, and so there’s not really any substitute for designing the thing, analyzing the thing, building it, and then getting it on the test stand.” Romo suspects AI tools for hardware design may be slower to arrive because the right training data is hard to find, compared to the amount of text and code available on the internet to train LLMs. “If you want to go, say, find the best designs for a turbo pump seal package in the world, you’re not going to find those online,” he points out. Impulse started with a focus on propulsion and evolved to build spacecraft, requiring the company to add more expertise in the form of engineers who build vehicle structures and flight computers. One reason the company recently opened an office in Colorado is that aerospace talent has more options today — instead of just going to Los Angeles, engineers can find work in Seattle, Denver, or Texas. Next up for the company is another launch of its Mira spacecraft, which made its third flight late last year. That flight wasn’t without incident — a problem with its navigation system led it to expend much of its propellant early on. Romo said the company is prepping a new Mira mission that is expected to launch before the end of the year.

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ZeroDrift raises $10M to protect AI models from themselves

ZeroDrift raises $10M to protect AI models from themselves

As enterprises troubleshoot their AI systems, governance has emerged as a key challenge. Some are taking a dual approach: One model to handle incoming queries, and another to keep the first one from getting into trouble. That’s the premise ofZeroDrift, a new AI compliance service that on Tuesday said it had raised $10 million in a seed funding round that saw investments from a16z Speedrun, Reign Ventures, PitchDrive Ventures, and U&I Ventures, among others. The company deals entirely with the second part of the system, sitting between AI models and end users to flag and replace any messages that might present a compliance problem. It might seem strange to build an AI tool to correct other AI systems’ mistakes, but ZeroDrift says its system has a few architectural advantages over the models it will be correcting. The system is triggered by conventional programs that deterministically apply known compliance standards like SOC 2 or GDPR, and the LLM only comes into play once a message has been flagged, rewriting a compliant version of the same message. “We’re able to identify, deterministically, what are all the regulated areas, what’s the violation that’s being broken, and then we have LLMs that can do the rewrites,” CEO Kumesh Aroomoogan says. Critically, the company says its entire system can be run with lower latency and more reliability than a conventional LLM. This is what ZeroDrift touts as its primary advantage over big labs like OpenAI and Anthropic, which are often already present in the underlying system. The most obvious use case is for AI chatbots, which are already deployed in front of consumers where there can be serious consequences for rogue answers. But Aroomoogan sees a much larger total addressable market, potentially spanning AI-generated messages that are generated only within automated systems that humans will never see. So far, it’s a relatively small market, but it’s one that will grow as AI proliferates. If the fundraise is any indication, there’s a lot of pent-up demand for such products. “It was probably the fastest fundraising I’ve done in my life,” Aroomoogan says, crediting Andressen Horowitz for helping structure the seed round. “We closed within three weeks, and we will be oversubscribed by 3x on the amount.”

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Cricketer KL Rahul Partners With str8bat to Launch AI-Powered Batting Platform

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The partnership brings KL Rahul’s batting philosophy to str8bat’s AI platform allowing players to learn from professional-level insights tailored to their game.

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Coforge Launches Nexa Agentic Platform for Insurers

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Nexa aims to automate and streamline underwriting, claims processing, product development and modernisation of legacy systems.

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