Multica: agents on the board, not in ten terminals

Once you run more than one coding agent, work scatters across terminals: context evaporates, status lives in your head, and review becomes a scavenger hunt. Multica is a workspace where AI agents show up on the board like teammates. You assign an issue the way you would to a colleague — the agent picks it up, works on a runtime you control, reports progress, and hands the result back for review. Intent, the run, decisions, and the diff stay attached to the same card — no endless “explain the context again.” It is not “another chat.” It is an operating loop for agentic development: assignment, reusable skills, squads of people and agents, self-host or your own daemon — code stays with you. That is how I work: Multica is the environment I use for AI-assisted development. Agents take the issues; I stay on architecture, contracts, and acceptance. Speed comes less from model magic and more from finally keeping the process in one place.