What is ADE?
ADE (Agentic Development Environment) is a desktop application that serves as your DevOps cockpit for agentic coding workflows. While AI agents write code across multiple git branches simultaneously, ADE watches over them — tracking context, predicting conflicts, surfacing integration risks, and keeping everything synchronized. Think of ADE as the orchestration layer between you and your agents. You set the direction; ADE coordinates the execution.Get Started in 5 Minutes
Download ADE, connect your repository, and launch your first parallel lane.
Understand Key Concepts
Learn about Lanes, Missions, the CTO agent, and how ADE thinks about parallel development.
Explore Features
Deep dives into Lanes, Missions, CTO, Computer Use, Automations, and more.
Tools & Views
Workspace Graph, File Editor, Terminals, PR management, Conflict detection, and History.
Core Philosophy
ADE is built around a single insight: agentic development is fundamentally parallel. Modern AI coding agents are fast, but they work best when they aren’t stepping on each other. ADE gives every agent its own isolated workspace (a Lane), keeps them all in sync, and surfaces conflicts before they become merge nightmares.Parallel by Default
Every task gets its own git worktree. Agents never block each other.
Context-Aware Orchestration
The CTO agent understands your entire project and routes work intelligently.
Local-First Security
All data stays on your machine. API keys never leave the main process.
Feature Overview
Lanes — Parallel Workspaces
Lanes — Parallel Workspaces
Lanes are isolated git worktrees, each with their own terminal sessions, agent context, and execution environment. Create dozens of lanes and run agents in all of them simultaneously. Learn more
CTO — Your Always-On Project Agent
CTO — Your Always-On Project Agent
The CTO agent lives at the top of an org chart of worker agents. It understands your architecture, syncs with Linear, manages budgets, and delegates work to specialized employee agents. Learn more
Missions — Structured AI Execution
Missions — Structured AI Execution
Missions are the formal execution unit for complex multi-step AI work. A mission goes through Planning, Approval, Execution, and Validation, with full audit trails and cost tracking. Learn more
Automations — Background AI Workers
Automations — Background AI Workers
Trigger-driven rules with time-based and action-based execution that launch an automation session, mission, or built-in task. Learn more
Computer Use — AI Browser & Desktop Control
Computer Use — AI Browser & Desktop Control
ADE acts as the control plane for computer-use workflows. Connect Ghost OS or agent-browser backends, track proof artifacts, and route visual verification to missions, PRs, and Linear. Learn more
Workspace Graph — Visual Topology
Workspace Graph — Visual Topology
An infinite canvas showing every lane, branch, PR, and dependency relationship in your project. Run merge simulations visually and spot integration risks at a glance. Learn more
Configure ADE
Project Config
Set up your
.ade/ directory, config layering, and trust model.AI Providers
Configure Anthropic, OpenAI, OpenRouter, and local models.
Permissions
Trust boundaries, per-agent permissions, and audit trails.