Google unveils AI advancements at IO 2025 including coding agent Jules
Google announced major AI updates at IO 2025 featuring coding agent Jules, Gemini integration, and new developer tools
At its annual developer conference, Google unveiled a suite of new AI-powered tools and enhancements aimed at developers. The announcements followed CEO Sundar Pichai's keynote address emphasizing Google's AI ambitions.
Key Announcements:
-
Stitch AI Design Tool: Google Labs VP Josh Woodward demonstrated Stitch, an experimental service that generates UI designs from text prompts using Gemini 2.5 Pro/Flash models.
-
Jules Coding Agent: Google's Jules coding assistant entered public beta, capable of autonomous coding, bug fixes, and testing on GitHub repositories.
-
Android Studio Enhancements: Gemini 2.5 Pro integration brings two new capabilities:
- Journeys for app testing
- Version Upgrade Agent for dependency management
-
Web Development Improvements:
- New CSS primitives reduce carousel code by 90%
- Interest Invoker API for popover menus
- Chrome DevTools now includes Gemini for styling and debugging assistance
-
Firebase Updates: Google's backend service added AI improvements including Figma import support.
Additional Product Launches:
- Google AI Ultra: $250/month subscription with highest usage limits and premium features
- Gemini Live: Real-time query answering using phone camera and screen sharing
- Deep Research Generator: Tool for compiling public/private reports
- Gemini Code Assist: Free version now generally available
Open Source Developments:
Google expanded its Gemma open source model family with:
- Gemma 3n (runs on 2GB RAM)
- MedGemma for medical applications
- Coming soon: SignGemm and DolphinGemma models
The announcements demonstrate Google's aggressive push into AI-assisted development across its product ecosystem.
Related News
Lenovo Wins Frost Sullivan 2025 Asia-Pacific AI Services Leadership Award
Lenovo earns Frost Sullivan's 2025 Asia-Pacific AI Services Customer Value Leadership Recognition for its value-driven innovation and real-world AI impact.
Baidu Wenku GenFlow 2.0 Revolutionizes AI Agents with Multi-Agent Architecture
Baidu Wenku's GenFlow 2.0 introduces a multi-agent system for parallel task processing, integrating with Cangzhou OS to enhance efficiency and redefine AI workflows.
About the Author

Michael Rodriguez
AI Technology Journalist
Veteran technology journalist with 12 years of focus on AI industry reporting. Former AI section editor at TechCrunch, now freelance writer contributing in-depth AI industry analysis to renowned media outlets like Wired and The Verge. Has keen insights into AI startups and emerging technology trends.