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Quickstart |
| description |
Install ADE, open your first project, create a Lane, and run your first AI agent in under 10 minutes. |
| icon |
rocket |
Download the DMG, drag ADE into `/Applications`, and launch it.
Add an Anthropic or OpenAI-compatible key so ADE can run agents.
Point ADE at a Git repository and let onboarding create the local ADE state.
Fork a task into its own isolated worktree.
Use Agent Chat for a fast task or launch a Mission for structured execution.
Read the concepts page once so the rest of the docs make sense.
ADE currently ships a macOS beta installer. Download the DMG from [GitHub Releases](https://github.com/arul28/ADE/releases) and drag **ADE.app** into `/Applications`.
Open **Settings** and save at least one provider credential. Anthropic is the fastest path to a working setup.
Use **Open Repository** on the welcome screen or press `Cmd+O`.
Create a new lane from your base branch so the first task does not run in the primary checkout.
Start with one contained change, like adding a health endpoint or updating a small component. That gives you a clean first pass through the chat, file diff, and commit flow.
Add a GET /health endpoint that returns { "status": "ok" } and add one test for it.
Small, easy to review, and exercises the full loop: open a lane → run an agent → inspect the diff → commit.
Understand every core concept in ADE: Lanes, Packs, Missions, the CTO, Automations, and more.
Deep dive into lane types, templates, environment isolation, port allocation, and proxy routing.
Learn how to configure phase profiles, set budget limits, handle interventions, and export audit bundles.
Set up the always-on CTO agent with Linear sync, project memory, and worker agent delegation.
Create trigger-driven automation rules that fire agents in response to git events, Linear updates, and schedules.
Configure AI providers, ADE CLI, permissions, and the full `ade.yaml` schema.