Code
Code on your computer or ours.
Use any model in normal idapt Chat to inspect, edit, test, and deliver code.
Where do you want it to run?
Four decisions, four pages. Everything else is the same Chat, the same agent, and the same computer tools.
AI coding on a computer you control
Pair a computer with idapt, start the idapt Code skill in Chat, and let the agent work through the existing shell and filesystem tools.
A fresh cloud computer for the task
Create an idapt cloud computer, clone or upload a project, and run the same idapt Code workflow without preparing local hardware.
Give a coding agent only the access the task needs
Understand the security boundary for paired computers, cloud computers, workspace Secrets, Git credentials, commands, and public preview tunnels.
Use the model that fits each coding task
Run idapt Code with available hosted models, workspace provider connections, or compatible local models while keeping one Chat and computer workflow.
Already using a coding agent?
Both comparisons state what the other product does better, with a review date.
What you get
Pair a machine you control or create an isolated cloud computer.
Start with the idapt Code skill. No separate coding interface to learn.
Choose cloud models, your provider connections, or local models on compatible hardware.
The agent uses the shell, files, Git, tests, package managers, and preview tunnels.
Store tokens in workspace Secrets and grant them only to the command that needs them.
Delegate bounded tasks to subagents and keep independent work moving in the background.
Who it's for
Fix, test, and ship from a normal chat without moving the repository off your computer.
Use workspace-scoped models and Secrets while each task runs on the intended machine.
Use a paired computer and local inference when code or prompts should stay on hardware you control.
How it works
- 1Choose a computer
Pair your own machine or create a cloud computer from the Computers page.
- 2Start idapt Code
Open the curated skill in a new Chat and describe the task and project path.
- 3Review the work
Follow commands and results in Chat, then ask for the diff, tests, commit, push, or pull request.
Frequently asked
Give it a project and one concrete task.
Pick a paired or cloud computer, name the project, and say what done looks like.