Question 1

How many tasks can the agent run at once?

Accepted Answer

We don't strictly limit the number of tasks that can be run at once. In practice, you can currently expect up to 6 tasks running at a time, depending on system load. We are scaling up every day to meet demand, so expect this number to increase!

Question 2

How do I get support?

Accepted Answer

If you have any questions or feedback, please email us. Support is offered on a best-effort basis, with no SLA or guaranteed response time.

Question 3

Can the agent run my unit/integration/end-to-end tests?

Accepted Answer

Yes! If your project clearly documents your test command (e.g. bun test), and your container is configured correctly, then the agent will be able to run your tests.

Question 4

How can I teach the agent about my codebase?

Accepted Answer

CheepCode can read any documentation in your repository, including Cursor Rules and other AI guidance files. One neat thing about modern AI agents is that any documentation that benefits them is likely to benefit you, too. A well-documented codebase is a happy codebase, whether it's humans or AI working in it.

Question 5

How does the agent install the tooling it needs?

Accepted Answer

The agent will try to run your code in a container, and your repository should contain a Dockerfile that the agent can use to build that container and run your code. If this is not available, the agent will do its best to fill the gaps, otherwise it will not be able to run your code.

Question 6

What if the agent doesn't complete the task?

Accepted Answer

In general, if you get a result that isn't an error message, the agent has "completed" the task and you've been charged for the run. Below, we'll unpack a few ways that the agent's output might fail to meet expectations, and what that means for billing: The agent submits a result that misunderstands the requirements. This is a common case, even for human developers! You will still be charged 1 credit for the run, because the agent attempted the task. When this happens, we recommend revising the ticket with more context before putting the ticket back into the "ready" state (e.g. "Todo" in Linear) for another run. The agent runs out of time working on the task. This is a rarer case for CheepCode, and is more likely to happen if the task is very complex. The agent will still submit a PR in this case, but will also leave a comment explaining which parts it was able to complete and which parts remain. You will still be charged 1 credit for the run, because the agent attempted the task. When this happens, we recommend breaking down the task into smaller chunks and submitting them as separate tickets. The agent starts working on the task, and realizes it doesn't have enough information to complete the task. This is another common occurrence when working with AI or human engineers. In this case, the agent will submit a comment on the ticket explaining what it was able to figure out and what it needs to clarify. Because the agent attempted the task and provided a result, you will be c

Question 7

How long does it take?

Accepted Answer

CheepCode is able to complete many tasks in a matter of minutes once it starts work. The agent will work for up to 30 minutes on a given task.

Question 8

How does CheepCode know what tasks to work on?

Accepted Answer

CheepCode will work on any task that is: on a configured ticket board (in a "Project" in Linear that you've linked with a CheepCode project), and in your ticketing system's "ready" status (e.g. "Todo" in Linear). assigned to CheepCode Our agent is constantly checking for new tasks, and starts work on new items within minutes.

Question 9

Is my code ever stored on CheepCode's servers?

Accepted Answer

CheepCode downloads your repo fresh each time it runs, and the ephemeral container with your code is destroyed after the task is complete.

Question 10

How does it work?

Accepted Answer

CheepCode uses a combination of LLMs and specialized tooling to write code for you. When you assign a task to CheepCode, an agent will clone your repository into a fully-integrated virtual development environment, do its best to complete the task, and submit a pull request.

Question 11

What is CheepCode?

Accepted Answer

CheepCode is an AI coding agent that works in your ticketing system (Linear only for now, with support for Jira, Trello, Monday, Asana, and more coming very soon). Headless agents work through your well-defined tasks, using a workflow that's already familiar to you: create a ticket, review the resulting PR, and merge it.

CheepCodeHeadless AI coding agents that ship pull requests from your task tracker

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New Feature Development

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Q&A

Ask a question

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