build-with-agent-team

Building complex software projects with parallel AI agents requires orchestrating specialized roles through a plan document and predefined contracts, spawning agents in tmux sessions for real-time visibility and concurrent development across frontend, backend, and database layers.

Contract-first development in AI agent teams is the process of defining clear API contracts and data models upfront before spawning agents, preventing integration issues when multiple agents build different software components simultaneously.

Start parallel programming with AI teams by providing the path to your plan document, which the skill reads to define agent roles, ownership boundaries, and integration interfaces before spawning concurrent tmux sessions.

Yes, this AI agent team workflow requires tmux to display each agent's progress in separate terminal panes, providing real-time visibility into parallel development tasks as they execute concurrently.

Yes, you can use this for full-stack web application development by defining agent roles for frontend, backend, and database schemas, allowing agents to build components simultaneously while coordinating through predefined integration interfaces.

You should not use parallel AI agents for software development when your project lacks clear API contracts or defined integration interfaces, as contract-first coordination is required to prevent integration issues during concurrent agent workflows.