> ## Documentation Index
> Fetch the complete documentation index at: https://ai-development-environment.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# Introduction
> A self-hosted control plane for AI-assisted development across your machines.
AI Development Environment is a self-hosted dashboard that coordinates AI-assisted development across every machine you enroll. It groups repositories into apps and keeps their Git worktrees, AI Plans and Sessions, builds, shell commands, and durable workflows in one control plane, so long-running work survives restarts and stays inspectable.
The [Worktrees](/worktrees/worktrees) page in that tour is a good example of how the product works. From a single view you can create a worktree from a branch or a Jira ticket, open it in VS Code, sync, rebase, push, stash, or move it to another Mac, and turn on **Auto Sync** and **Auto Merge** so branches keep themselves current and merge once required checks pass. Every enrolled agent's checkouts appear side by side.
## What you can do
Group one or more repositories into an app. Open its hub to work with only that app's repositories, worktrees, Plans, Sessions, and builds.
Survey a codebase read-only with a Plan, then start a Session from it against a worktree. Steer live transcripts, answer questions, and review the resulting changes and cost.
Track repositories and checkouts across agents, manage branches and stashes, and share settings between every checkout of a repository.
Read any worktree's diff in a full-window reviewer — staged, unstaged, branch, or per commit — with a build's code coverage painted onto the lines.
Configure and run iOS builds, inspect logs, artifacts, tests, and coverage, then export or install over the air. Manage provisioning profiles and enroll devices with Apple.
Draw durable automations on a typed canvas, publish them, and watch runs live. Save reusable shell commands that run through an enrolled agent's login shell.
Review pull requests and review threads, monitor Actions runs and webhook deliveries, and browse Jira projects, boards, and saved JQL queries.
Search console output from builds and devices, watch analytics events arrive, compose and send Apple push notifications, and read everything on one live timeline.
## How it fits together
* The **control plane** is a Next.js app with a GraphQL API and a SQLite database that you run on your own machine or server.
* Each managed machine runs a **control agent** that makes outbound HTTP and GraphQL WebSocket connections to the control plane. Managed machines and agent containers never expose a listening port.
* Agent identity and job history are durable, so jobs, builds, and Sessions survive restarts while subscriptions deliver live output.
* Long-lived Jira, GitHub, signing, and APNs credentials and their connection settings go through a server-only [credential service](/system/credentials) backed by the database, HashiCorp Vault, or the macOS Keychain.
Install the control plane, enroll your first agent, and open the dashboard.