Architect-Worker Coding Teams in Bambooed

Architect and Worker Workflow

Bambooed facilitates a hierarchical AI coding structure where a primary architect model manages project planning, file ownership, and task delegation, while secondary worker models handle specific implementation details. Users can configure teams by selecting different models for the architect and worker roles, such as using Codex for planning and DeepSeek via OpenCode for execution. The interface supports up to three simultaneous worker assignments, allowing for parallel development on distinct components like game engines and user interfaces.

Decision Assistance and Verification

Jev provides optional, type-safe decision support that can be integrated into the workflow to assist with worker selection, context retrieval, and change verification. By enabling project rules, users can enforce constraints, such as prohibiting engine code from interacting with browser interfaces. The browser integration allows for automated testing of local applications in a separate Chrome session, where Jev can execute specific user journeys and report interaction failures. These checks provide evidence-based verification, moving beyond simple agent completion claims to validate actual application behavior against defined requirements.

Economic Considerations

Achieving cost efficiency requires careful task decomposition rather than simply selecting the cheapest model. The author notes that the total cost includes the architect, workers, retries, subscription fees, and any additional Jev or browser-helper usage. Effective workflows involve creating reusable team profiles and setting clear run limits to prevent runaway token consumption. Users should prioritize this setup for projects with separable components, as small or simple changes may not justify the overhead of a multi-agent team.