Google Launches DevFest 2026 to Focus on Agentic AI
Google has launched its global DevFest 2026 season, a massive community-led technology conference designed to help nearly one million developers gain hands-on experience with agentic AI tools.

Google has officially kicked off its DevFest 2026 season, running from October 1 through December 31, 2026. Organized by Google Developer Groups, the global initiative is expected to draw nearly one million software engineers and builders. This year's series features more than 800 events distributed across 115 countries, making it one of the largest community-led technology conferences in the world.
Under the theme of building, securing, and scaling in the agentic era, the 2026 season emphasizes practical, hands-on experimentation. Attendees will work directly with Google's suite of developer tools and artificial intelligence models. The event lineup includes live codelabs, technical workshops, and collaborative "agent-athons" designed to help participants build and deploy applications. Key technologies featured throughout the events include Gemini, Google AI Studio, Google Antigravity, Google Cloud, Firebase, Android, Flutter, Angular, and Web MCP.
For individual practitioners, this year's programming addresses the shifting realities of modern software development where AI agents are becoming mainstream. The curriculum is divided into three core areas: rapid prototyping, secure deployment with responsible AI guardrails, and scaling on production-ready infrastructure. By focusing on these tracks, developers can learn how to balance the speed of AI-assisted development with the rigorous security and data privacy standards required for enterprise-grade applications.
Because local chapters curate their own agendas, the sessions are tailored to the specific needs of regional tech ecosystems. Developers can find local events through the official directory to collaborate with peers, test new architectural patterns, and learn how to integrate Google's latest model capabilities directly into their existing workflows.
This is our own summary of reporting by Google AI Blog

