An AI workspace for developers, from context to code.

Start with the repository and the question

Connect GitHub on Builder or Pro, select the repository you need, and ask about a specific file, issue, or implementation. Include the behavior you want to change and the constraints that matter. Repository context gives the conversation a concrete starting point; it does not replace your review of the code.

For a solo builder, this can mean preparing an implementation brief before opening the editor. For a small team, it can mean turning a discussion into a clearer description of the change. Keep the objective narrow enough to verify.

A practical workflow for a new feature

1. Provide the feature request, the relevant repository, and any project notes.
2. Ask QueueAI to separate existing behavior, proposed changes, dependencies, and unresolved questions.
3. Create a requirements document or architecture diagram in Canvas, then review it against the source material.
4. Preview generated interface code when useful. Test and integrate the result in your development environment.

Review the output before integrating it

Treat generated code as a draft. Check authentication, permissions, edge cases, accessibility, and error handling before putting it into production. A live preview helps you examine an interface, but a working preview is not evidence that the application is secure or ready to deploy.

Builder provides GitHub reading; Pro adds supported GitHub write operations. Availability depends on the connected account permissions and the tools supported by QueueAI. Documents and diagrams can be useful even when you only need read access.

Choose an objective that produces a deliverable

Ask for a testable change plan, a repository-grounded requirements document, or an architecture diagram. Naming the desired format helps keep the response useful. When context is incomplete, ask the assistant to identify missing information instead of filling it in as a fact.