AgentsThe story, in brief

How Factory scaled its cloud backend to one billion monthly requests on Vercel

Factory's non-technical teams now deploy dozens of times a day. Their secret: Droids handling builds and deployments end-to-end while engineers set guardrails.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Factory built its autonomous software platform by dogfooding it internally—using Droids to automate routine deployments and infrastructure tasks so engineers stay on product. This is agents in production, scaled: non-technical staff operating autonomous systems against live infrastructure.

The key facts

8 to know
  1. One billion daily API requests handled by single Vercel backend

  2. 350ms p95 response time

  3. Droids deployed for self-serve internal tooling: dozens of deployments per day across non-engineering teams

  4. Non-technical staff (account executives, solution architects) use Factory Desktop App or CLI to build and deploy autonomously

  5. Engineers set guardrails; Droids handle builds, configuration, deployments end-to-end

  6. Observability + WAF deployed for route-level protection after bot attacks on self-serve signups

  7. Next.js runs entire cloud backend (API routes, middleware, webhook handlers, log pipelines)

  8. Three-year growth trajectory without separate infrastructure team

Go to the source

Vercel Blogvercel.com

Publisher excerpt: Factory on Vercel Non-technical teams were bottlenecked on engineering Droids hit Vercel's APIs to build and deploy autonomously Going self-serve exposed Factory's backend to a new category of threat Observability and WAF handle protection at the network level One billion backend API requests…
Read original report
Back to today's editionMore agents news

Keep reading

Related stories

More from Agents