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# A Computer Is All You Need

How do you safely provide autonomous AI agents with compute to run untrusted code? Watch Cloud Run spin up 1,000 secure sandboxes in just seven seconds.

- **Speakers:** [Steren Giannini](https://www.wearedevelopers.com/@steren-giannini)
- **Event:** World Congress 2026 Europe
- **Published:** July 9, 2026
- **Duration:** 28:32
- **URL:** https://www.wearedevelopers.com/videos/100142-a-computer-is-all-you-need

## Summary

The transition of AI from simple chat models to autonomous, tool-wielding entities requires secure, on-demand compute resources. Because AI agents execute untrusted code, run local binaries, and manipulate files, they need cloud-based "computers" just like human developers do. Google Cloud Run addresses this need by offering hyper-elastic, zero-overhead environments uniquely tuned for building and hosting modern applications and agentic workflows.

This session demonstrates three distinct workload deployments powered by Google Cloud Run. First, developers can "vibe code" full-stack software—such as a real-time multiplayer 3D game—in Google AI Studio and seamlessly publish the production build to the cloud without needing a credit card or complex bootstrapping. Second, to support personal AI assistants, Cloud Run Instances provide affordable ($5.17/month), always-on micro VMs where stateful agents like OpenClaw can run persistently. These isolated instances feature integrated cloud storage for long-term memory, secure IAM identities, and direct SSH access for troubleshooting agent configurations.

Finally, the presentation introduces Cloud Run Sandboxes, a novel primitive built specifically for multi-tenant, scalable agents. When serving external users, agents require dynamic, strictly isolated runtimes to safely process unvetted code on the fly without having default internet access or exposed secrets. Proving its impressive elasticity, the platform successfully spins up 1,000 secure Python execution sandboxes in under seven seconds. By providing fast-starting, scale-to-zero, container-agnostic architecture, Cloud Run delivers frictionless compute power that scales effortlessly from personal prototyping to massive-scale production AI.

**Keywords:** google cloud run, ai agent compute environments, vibe coding, google ai studio, cloud run sandboxes, on-demand cloud computers, scale-to-zero infrastructure, openclaw agent, untrusted code execution, long-running background agents, hyper-elastic container runtimes, dynamic sandbox orchestration, scalable ai applications, agent harness architecture

## Chapters

1. **Why developers and AI agents need on-demand computers** (01:14) — How identical compute requirements drive the need for fast, maintaining-free cloud environments.
1. **Vibe coding a multiplayer 3D game with AI Studio** (03:17) — Building a real-time multiplayer racing game using AI-assisted generation tools.
1. **Deploying applications to Cloud Run without cloud onboarding** (05:46) — Publishing a multiplayer application to production directly from Google AI Studio.
1. **Understanding scale-to-zero and automatic resource scaling** (08:33) — How automated cloud resource scaling reduces developer costs during inactive periods.
1. **Allocating cloud environments for personalized AI agents** (10:14) — Deconstructing AI agent architecture and the necessity of persistent cloud instances.
1. **Deploying an OpenClaw agent to Cloud Run** (13:30) — Initializing a long-running Linux instance with persistent cloud storage and controlled permissions.
1. **Connecting personalized agents to chat applications** (17:02) — Integrating a deployed personal agent into an external chat interface for direct interaction.
1. **Authenticating and exploring instances using secure shell** (18:28) — Establishing an interactive connection to audit running agent processes and inspect persistent memory.
1. **Isolating untrusted code with Cloud Run sandboxes** (19:50) — Provisioning secure, fast-starting sandboxes for scalable AI agents handling multiple user sessions.
1. **Load testing remote arbitrary code execution** (23:05) — Benchmarking standard container scale-out by deploying one thousand concurrent python sandboxes.
1. **Summary of container runtime elasticity and pricing models** (26:29) — Reviewing core capabilities of highly scaled, pay-per-use isolated computing endpoints.

## Related Moments

- [Live demonstration of an application-defined compute coding agent](https://www.wearedevelopers.com/videos/100525-application-defined-compute-rethinking-infrastructure-for-ai-applications) (from "Application-Defined Compute: Rethinking Infrastructure for AI Applications")
- [Introduction to Runpod cloud infrastructure capabilities](https://www.wearedevelopers.com/videos/100424-managing-gpus-by-just-asking-infrastructure-in-the-age-of-mcp) (from "Managing GPUs by Just Asking, Infrastructure in the Age of MCP")
- [Mitigating operational risks through robust agent sandboxing](https://www.wearedevelopers.com/videos/100448-don-t-kill-my-vibes-simple-steps-to-stay-secure-when-vibe-coding) (from "Don’t kill my Vibes - Simple Steps to Stay Secure when Vibe Coding")
- [Infrastructure requirements for cloud-based agentic development](https://www.wearedevelopers.com/videos/100487-build-fast-deploy-faster-cross-platform-ai-development-in-2026) (from "Build Fast, Deploy Faster: Cross Platform AI development in 2026")
- [Executing untrusted code securely with Cloud Run sandboxes](https://www.wearedevelopers.com/videos/100544-a-computer-is-all-you-need) (from "A Computer Is All You Need")
- [Fulfilling the shared computing needs of developers and agents](https://www.wearedevelopers.com/videos/100544-a-computer-is-all-you-need) (from "A Computer Is All You Need")

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