build-with-agent-team

You can build software projects with multiple AI agents by providing a detailed markdown plan that the system uses to spawn specialized agents for parallel development across distinct project components like frontend, backend, and database layers.

Contract-based integration for AI agent teams enforces strict API and data contracts between agents before they start coding, minimizing integration conflicts and enabling true parallel development of software project components.

You can visualize real-time progress of AI agents building a software project using tmux split panes, which provide live visibility into each specialized agent's activity and task execution as they collaborate.

Yes, plan-driven development requires a detailed markdown plan as input, which breaks down the software project into manageable tasks and defines specific roles and ownership for each AI agent.

Yes, you can use tmux to manage specialized AI agents by orchestrating their roles and inter-agent communication across distinct project layers, providing real-time visualization of their collaborative software development efforts.

Plan-driven AI agents for software development rely entirely on a detailed markdown plan and strict contract enforcement, meaning poorly defined plans or complex inter-agent dependencies may limit their ability to effectively coordinate parallel coding tasks.