🤖Google’s New AI Coding Agent

+ GeoSpy AI can find a photo’s location in minutes, NASA & Google test a ‘space doctor’ for astronauts, and Anthropic offers Claude to the U.S. government for $1 after OpenAI’s move

In partnership with

From Earth to orbit to Capitol Hill, AI is everywhere.

Google’s Jules is finally out of beta, bringing an autonomous, agentic coding assistant straight into your GitHub workflow. It can fix bugs, build features, and ship updates while you focus on other work.

GeoSpy AI follows with a jaw-dropping visual geolocation system that can pinpoint a photo’s location within minutes without using metadata. NASA and Google are building a “space doctor”, an AI-powered health tool designed to help astronauts diagnose and treat medical issues during space missions. And in a move echoing OpenAI, Anthropic is providing Claude to the U.S. government for $1.

Let’s get into it.

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Google

From Beta to Builder: Google’s AI Coding Agent Is Live

Google just took its autonomous coding agent Jules out of beta. It joins your team as an asynchronous coding agent that understands your entire codebase, plans its own work, and delivers finished results — all while you’re doing something else. In beta, thousands of devs used Jules to complete tens of thousands of tasks, from writing tests to building full features. Now it’s available worldwide, powered by Gemini 2.5 Pro, with new speed boosts, GitHub Issues integration, multimodal support, and subscription tiers for heavy use.

♟️ What Sets Jules Apart

  • True Agentic Workflow – Fully autonomous; handles multi-step tasks from start to finish without constant prompting.

  • Full-Repo Awareness – Clones your entire repo into a secure Google Cloud VM for complete project context.

  • Asynchronous Execution – Keeps working while you’re away, then delivers a finished plan, reasoning, and code diffs.

  • Multi-File, Multi-Task Handling — Run parallel tasks in the cloud, tackling multiple issues or features at once.

  • GitHub Integration — Operates natively within your GitHub repos with no extra setup,

  • Audio Changelogs — Listen to quick voice summaries of recent commits

💡 Why It Matters

Jules marks the jump from “AI coding helper” to AI coding teammate. It understands the whole project, can juggle multiple features at once, and frees you to focus on high-level work while it executes the details. For teams, that means faster shipping, fewer context switches, and the beginnings of true agent-driven development at scale.

🔍 Learn more at jules.google/docs

Note: Intro access is free. Pro and Ultra tiers start with 5x–20x higher limits, including a free year for eligible college students.

ALPHA DROP

(Where we spotlight one powerful tool or feature to help you stay ahead.)

Most Advanced AI Visual Geolocation System Yet

GeoSpy AI is the most advanced visual geolocation system available — and in the right hands, it’s almost scary. Instead of relying on metadata, it analyzes the tiniest visual clues in an image — like a window frame, plant type, or paint texture — to pinpoint a location. In some cases, law enforcement has used it to find a suspect’s exact address in under 20 minutes, even from a grainy profile photo. For open-source intelligence (OSINT) pros, journalists, and investigators, it’s like having a forensic location lab in your browser.

⚡️ What’s It About

  • Superbolt Matching (Pro): Trained on 46M+ geo-tagged street-level images. Matches a photo to within meters, even with low quality or partial views.

  • Two-Tier Geolocation: Region-level estimation (Plus) → precise match (Pro).

  • Pixel-Level Detection: Extracts environmental features invisible to the untrained eye, from roof tiles to distant street signs.

  • Speed & Scale: Returns results in seconds, compressing massive datasets into ultra-fast embeddings.

  • Law Enforcement-Grade: Restricted Pro tier designed for government and investigative use only after public misuse concerns.

🚀 What You Can Use It For

  • Investigative Journalism: Verify image origins and debunk fake content.

  • OSINT Research: Trace images to exact locations for competitive intelligence or security work.

  • Law Enforcement: Track fugitives or criminal activity without needing Exchangeable Image File Format (EXIF) data.

  • Environmental & Academic Studies: Map changes in terrain, cities, or infrastructure over time.

⚠️ Worth Knowing: GeoSpy’s power raises major privacy concerns. Public access to its most accurate tier has been removed after reports of misuse for stalking and harassment. Even in Plus mode, the tech can still narrow images down to the city or street level with alarming accuracy.

GeoSpy AI isn’t just another reverse image search, but it’s a leap forward in computer vision and geolocation. With its ability to work from a handful of pixels, it blurs the line between investigative tool and surveillance risk. If you’re in OSINT or need to validate visual content, it’s a game-changer.

NASA & Google

NASA and Google Test AI ‘Space Doctor’ for Astronaut Health

Source: Google

NASA and Google are building the Crew Medical Officer Digital Assistant (CMO-DA), an AI-powered health tool designed to help astronauts diagnose and treat medical issues during deep-space missions — where real-time help from Earth isn’t an option. Running on Google Cloud’s Vertex AI, the system processes speech, text, and images to guide users through assessments and treatments with minimal medical expertise required.

🚀 Performance Highlights

  • Diagnostic Accuracy: Achieved ~88% accuracy for ankle injuries, ~80% for ear pain, and ~74% for flank pain in early trials using a standard clinical evaluation framework.

  • Multimodal Capability: Integrates voice, text, and image inputs for a more complete medical evaluation.

  • Autonomous Care: Designed to work in isolated, resource-limited environments with no real-time access to human doctors.

  • Scalable Beyond Space: Potential for use in rural or disaster-stricken areas on Earth.

🧠 Technical Insights

  • Architecture: Built with Vertex AI’s multimodal capabilities to combine language understanding, image analysis, and contextual reasoning.

  • Training Data: Modeled on medical scenarios most likely to occur during space missions, validated with clinical experts.

  • Testing Environment: Simulated deep-space conditions with communication delays and limited medical equipment.

The CMO-DA is a preview of how AI could transform autonomous medical care. For NASA, it’s about protecting astronaut health on missions to the Moon and Mars. For Earth, it’s a step toward delivering expert-level care anywhere — even in places where a hospital is hundreds of miles away.

Anthopic

Claude for $1 Across All of the U.S. Government

Source: Anthropic

Anthropic just expanded Claude access to all three branches of the U.S. federal government—executive, legislative, and judicial—through the GSA’s OneGov program for just $1 per agency per year. The deal covers Claude for Government and Claude for Enterprise, both FedRAMP High–certified, and includes technical support plus security for sensitive workloads.

Claude is already in use at Lawrence Livermore National Laboratory and the D.C. Department of Health, but this expansion positions Anthropic to go head-to-head with OpenAI’s similar $1 ChatGPT Enterprise offer and lock in long-term institutional trust.

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