Moving AI agents beyond “Hello World” to real production

In this interview from Google I/O, Cloud AI teams detail how to architect and maintain production systems beyond initial source generation. Learn how to combine local execution frameworks like Antigravity with managed Model Context Protocol (MCP) servers to securely aggregate real time telemetry, error logs, and multi-cloud streaming paths directly into unified observability contexts. Discover how cloud engineers can optimize microservice layers on Cloud Run, automate streaming ingest into BigQuery, and use automated multi-agent remediation chains to minimize downtime and elevate development workflows to the platform architecture level. Watch more Google I/O Interviews → https://goo.gle/io-tech-chats 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #GoogleIO #GoogleCloud Speakers: Richard Seroter, Christina Lin, Denise Kwan Products Mentioned: Antigravity, Model Context Protocol, Cloud Run, BigQuery