# Cross-link map: Build a Software Factory with the AI SDK (/docs/agent-resources/software-factory/ai-sdk)

> From the Vercel docs graph (built 2026-11-07T05:31:18.281Z), spanning vercel.com docs + KB, nextjs.org, ai-sdk.dev, and other Vercel documentation sites. Full graph as JSON: https://vercel.com/docs/graph.json

## Semantically closest pages

- [Software Factories on Vercel](https://vercel.com/docs/agent-resources/software-factory) — Build repeatable agent workflows that investigate issues, test changes, and prepare pull requests for human review.
- [Build a Software Factory with eve](https://vercel.com/docs/agent-resources/software-factory/eve) — Customize an eve software factory on Vercel with GitHub access, sandbox execution, and reviewed draft pull requests.
- [Build a Software Factory with Mastra](https://vercel.com/docs/agent-resources/software-factory/mastra) — Combine Mastra workflow stages with AI Gateway, Vercel Sandbox, and GitHub Tools to prepare reviewed changes.
- [Build a Software Factory with Flue](https://vercel.com/docs/agent-resources/software-factory/flue) — Use Flue with AI Gateway, Vercel Sandbox, and explicit GitHub tool adapters for investigated and reviewed code changes.
- [Building a software factory for AI SDK](https://vercel.com/blog/building-a-software-factory-for-ai-sdk)

## Prerequisites

- [Agent Resources](https://vercel.com/docs/agent-resources) — Set up AI coding tools with Vercel documentation, reusable skills, and secure access to projects, deployments, and logs.

## This page links to (8)

- [Tool Calling](https://ai-sdk.dev/docs/ai-sdk-core/tools-and-tool-calling) — Learn about tool calling and multi-step calls (using stopWhen) with AI SDK Core.
- [Vercel AI Gateway: Models, Routing, and Observability](https://vercel.com/docs/ai-gateway) — Call AI models from any infrastructure through a managed gateway. Centralize credentials, request logs, spend budgets, r
- [AI SDK](https://vercel.com/docs/ai-sdk) — Build TypeScript agents and AI applications with a unified API for models, tools, structured output, and streaming.
- [Vercel Sandbox](https://vercel.com/docs/sandbox) — Run untrusted or agent-generated code in isolated Linux microVMs with Vercel Sandbox.
- [Drives](https://vercel.com/docs/sandbox/concepts/drives) — Persistent storage that can be mounted into sandboxes and shared across runs.
- [Quickstart](https://vercel.com/docs/sandbox/quickstart) — Learn how to run your first code in a Vercel Sandbox.
- [Vercel Blob](https://vercel.com/docs/vercel-blob) — Vercel Blob is a scalable, cost-effective object storage service with private and public access modes for files up to 5
- [Vercel Workflows](https://vercel.com/docs/workflows) — Build agents and applications that retry failed steps, wait for external events, and resume across crashes and deploymen

## Pages that link here (3)

By site: vercel-docs (3)

- [Agent Resources](https://vercel.com/docs/agent-resources) — Set up AI coding tools with Vercel documentation, reusable skills, and secure access to projects, deployments, and logs.
- [Software Factories on Vercel](https://vercel.com/docs/agent-resources/software-factory) — Build repeatable agent workflows that investigate issues, test changes, and prepare pull requests for human review.
- [AI SDK](https://vercel.com/docs/ai-sdk) — Build TypeScript agents and AI applications with a unified API for models, tools, structured output, and streaming.