AI Coding Agent Setup

This guide assumes you want Codex or Claude Code to do the coding work for you. You install the Wendy plugin, ask the agent to install or verify the Wendy CLI, then ask it to create and run a Wendy app.

Install the Wendy plugin

Choose the coding agent you will use.

codex plugin marketplace add wendylabsinc/wendy-agentic-coding

codex
/plugins

Use @Wendy to install Wendy CLI, verify my Wendy CLI version, discover my Wendy device, and create a Wendy app for this project.

claude plugin marketplace add wendylabsinc/wendy-agentic-coding
claude plugin install wendy-agentic-coding@wendy-agentic-coding

/reload-plugins

/wendy-agentic-coding:wendy-install

Let the agent install Wendy CLI

The plugin does not silently install system tools. Ask Codex or Claude Code to install or verify Wendy CLI, and let it show you the command before it runs it.

The agent should use these commands:

curl -fsSL https://install.wendy.sh/cli.sh | bash

wendy --version
wendy discover --json

curl -fsSL https://install.wendy.sh/cli.sh | bash

wendy --version
wendy discover --json

winget install WendyLabs.Wendy --source winget

wendy --version
wendy discover --json

For the full agent workflow, including Wendy MCP and hardware inspection, use Wendy CLI 2026.04.30-211221 or newer. If your package manager installs an older version, ask the agent to update Wendy from the latest release at github.com/wendylabsinc/wendy-agent/releases.

Start a project from a template

For a new app, ask the agent to search Wendy templates before it writes code from scratch. The Wendy plugin teaches Codex and Claude Code to prefer the local templates repo or github.com/wendylabsinc/templates when it is unsure.

Example prompt:

Use @Wendy to create a Wendy app in ./foo-bar from the realsense-camera template.
Search local templates first; if source behavior is unclear, check wendylabsinc/templates before writing code.
Validate wendy.json, discover my device, and tell me the exact command to run the app detached.

The agent should inspect the matching template's template.json, wendy.json, Dockerfile, and source files, then create or adapt the app in your requested directory.

Common agent prompts

Use these prompts as starting points.

Use @Wendy to create a Wendy Python app in ./robot-camera from the closest camera template. Validate wendy.json and explain the entitlements.

Use @Wendy to run this app on my Wendy device in detached mode, then stream the logs and summarize any startup errors.

Use @Wendy to inspect my device hardware and update wendy.json so the app has only the entitlements it needs.

/wendy-agentic-coding:wendy-template create a Wendy Python app in ./robot-camera from the closest camera template

/wendy-agentic-coding:wendy-run run this app detached, then stream logs and summarize startup errors

/wendy-agentic-coding:wendy-device-ops inspect my device hardware and recommend the smallest wendy.json entitlement set

What the agent should do

For a new Wendy app, expect Codex or Claude Code to:

1. Check wendy --version and wendy discover --json.
2. Search local templates or wendylabsinc/templates for the closest app archetype.
3. Create or adapt the app in your requested directory.
4. Choose the smallest practical wendy.json entitlements.
5. Run wendy json validate.
6. Use wendy run --yes --detach --device <hostname> for long-running apps.
7. Stream logs with Wendy device log commands and summarize actionable failures.

Next steps

• Discover your devices
• Manage apps
• Understand entitlements