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Stably, a 6-person startup building AI testing agents, shares how Vercel eliminated their infrastructure bottleneck and enabled shipping in hours instead of weeks.
•Stably's AI agents run autonomous end-to-end tests by deploying on preview URLs, reading code diffs, and validating changes like a real user
•Before Vercel, every new feature or agent required infrastructure decisions that consumed unsustainable DevOps overhead for a lean team
•Their stack uses Vercel for frontend/backend, AI Gateway for scalability and large TPM limits, and Sandbox for agentic code execution
•Removing deployment friction changed team culture: engineers now ship internal tools (Slack bots, dashboards, new agents) the same day ideas emerge
•Winning Vercel's AI Accelerator brought investment, enterprise brand validation, and inbound leads that are now converting to contracts
This summary was automatically generated by AI based on the original article and may not be fully accurate.