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Vercel Adds Persistent Drives to Sandbox; GitHub Universe Returns in 2026

Vercel opens private beta for persistent storage in its Sandbox environment while GitHub schedules its annual developer conference for October 2026 under an agentic AI theme.

Vercel Adds Persistent Drives to Sandbox; GitHub Universe Returns in 2026

What happened

Vercel has launched a private beta for Drives, a persistent storage layer designed for its Sandbox execution environment. The feature allows code running inside Vercel Sandbox to read and write data that survives beyond a single session, addressing a key limitation of ephemeral compute environments. Separately, GitHub has confirmed that its flagship developer conference, GitHub Universe, will return to Fort Mason Center in San Francisco on October 28–29, 2026, framed around the theme of agentic AI development.

Why it matters for your business

Persistent storage inside sandboxed environments is a meaningful shift for teams building AI-assisted coding tools, automated testing pipelines, or any workflow that spins up isolated compute on demand. Until now, ephemeral sandboxes required external storage workarounds that added latency and architectural complexity; Drives aims to eliminate that friction directly within the Vercel platform. For engineering leaders evaluating cloud-native development infrastructure, this capability could reduce the overhead of managing stateful workloads in isolated environments. The practical takeaway: teams already on Vercel should apply for the private beta early, as persistent sandbox storage can simplify CI/CD and AI agent workflows that currently rely on patchwork storage solutions.

What to watch next

Vercel's Drives feature is still in private beta, so general availability terms, pricing, and storage limits remain to be disclosed — factors that will determine whether it is viable for production-scale agentic workloads. On the GitHub side, the October 2026 Universe event is expected to showcase the next generation of GitHub Copilot and autonomous coding agent capabilities, making it a key date for engineering and product leaders tracking where AI-assisted development is heading.

Sources

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