# Building a software factory for AI SDK By Steven Van · 2026-08-12 The AI SDK is one of the most popular open-source AI projects in the world. [Vercel]() built an internal system called ai-sdk-factory to work through the backlog on its AI SDK open-source project. By late June the repo, which sees over 20 million npm downloads a week, had accumulated more than 1,000 open issues and almost 800 pull requests, after months of 100+ new issues a month and a spike following Anthropic's Opus 4.6 release. Four weeks after deploying the factory, it authors between **25 and 35%** of the PRs the team merges and closes **70 to 80%** of issues. The factory runs a set of dedicated agents, each scoped to one task in the pipeline: - Bug reproduction - Bug fixes - PR reviews - Backports - Documentation updates - Feature analysis - Feature implementation Every agent runs inside an isolated Vercel Sandbox with only the secrets its task needs, behind a network shielding layer meant to block attempts to exfiltrate secrets or prompts from untrusted issue and PR content. No change ships without a human on the AI SDK team reviewing and merging it. The system itself runs on Vercel Functions, Vercel Queues, Vercel Blob, Vercel Sandbox, and Neon Postgres, with a monitoring UI that shows reviewers every run in the pipeline. Read the full write-up in the [original announcement](). [![]()]() ![Vercel]() Vercel The platform for frontend developers — deploy, preview, and scale web apps and AI agents with zero config. [View Vercel →]() Sources [Original source]() [Read Building a software factory for AI SDK on Creators Toolbox]() --- Canonical source: https://creatorstoolbox.com/blog/vercel-building-a-software-factory-for-ai-sdk