You have a lane ready. Now it is time to run an agent in it. ADE offers two paths depending on the scope of the task.Documentation Index
Fetch the complete documentation index at: https://ade-app.dev/docs/llms.txt
Use this file to discover all available pages before exploring further.
Two good first paths
- Agent Chat (recommended for first run)
- Mission (for structured work)
Use Agent Chat when the task is small and you want the fastest iteration loop. Chat is conversational — you describe what you want, the agent makes changes, you review and iterate.
Open the lane chat
Select your lane in the Lanes panel. Click the Chat button in the lane toolbar, or press
Cmd+K. A new chat session opens with automatic context injection from the lane’s pack.Choose a model (optional)
The model selector in the chat header defaults to your configured preferred model. Click it to switch models for this session. If you set up Anthropic, Claude Sonnet is a good default for a first task.
Send one narrow task
Start with something small and easy to review. Type your task description and press Enter. The agent receives your message along with the injected context and begins working immediately.See suggested first prompt below.
Watch the agent work
As the agent processes your request, you will see:
- Text responses explaining what it plans to do
- Tool call blocks showing file reads, writes, and terminal commands in expandable cards
- A progress indicator in the chat header showing token usage
First prompt to try
For your first agent task, use something narrow enough to verify the full loop but broad enough to exercise the core workflow:"Add a TypeScript type for UserPreferences with name (string), theme (light | dark), and notifications (boolean).""Write a utility function that validates email addresses and add 3 unit tests for it.""Update the README with a Getting Started section that explains how to install dependencies and run the dev server."
What to expect during your first session
Context injection: ADE prepends the Lane Pack before the agent sees your message — so the agent already knows the project structure, lane intent, and recent file state. Tool calls: The agent reads files, writes code, and runs commands via ADE CLI tools. Each call appears as an expandable block in chat. No per-call permissions required in the default config. Session recording: Every message and tool call is captured in the session transcript, viewable in the History tab. Interrupting: Press Escape or click Stop at any time. The agent reports partial results and the conversation continues.After your first task
Once you have verified the result:Review the diff
Open the Files view scoped to your lane. Check every changed file. The side-by-side diff makes it easy to spot issues.
Commit the changes
If the changes look correct, commit them. You can:
- Ask the agent: “Commit these changes with a descriptive message”
- Use the git operations bar at the bottom of the Files view
- Use the terminal in the lane to run
git commitmanually
Troubleshooting your first run
The agent is not responding
The agent is not responding
Check that at least one AI provider is configured and verified in Settings > AI Providers. A green indicator means the provider is ready. If the provider shows a red indicator, verify your API key.
The agent made changes to the wrong files
The agent made changes to the wrong files
Verify you are in the correct lane — check the lane selector in the chat header. If the agent is in the Primary Lane, it writes to your main working directory. Create a Worktree Lane for agent-driven tasks.
The agent's changes do not compile or tests fail
The agent's changes do not compile or tests fail
This is normal for a first run, especially on complex codebases. The Lane Pack may not have captured all relevant context. Try:
- Tell the agent what failed: “The tests are failing with this error: [paste error]”
- The agent will read the error and attempt a fix
- If it still fails, provide more context about your project’s testing setup
The session is taking very long
The session is taking very long
Check the token usage indicator in the chat header. If the agent is consuming tokens but not producing visible output, it may be reading large files. Press Escape to interrupt, then try a more focused prompt.
Next steps
Key Concepts
Understand every core concept in ADE: Lanes, Packs, Missions, the CTO, Automations, and more.
Chat Capabilities
See the full list of what the chat agent can do — file operations, git, PRs, missions, and more.
Missions
Learn how to configure multi-step missions with planning, validation, and cost tracking.
Multi-Agent Setup
Run parallel agents across multiple lanes and monitor them from the Workspace Graph.