Multi-agent software development

Parallelize independent work without losing the plan.

AIWorkHub turns model delegation into a repository-scoped task DAG with explicit dependencies, collision checks and review boundaries.

The task graph is operational

Cards declare dependencies, runner intent, bounded inputs, allowed writes, required outputs and validation commands. A read-only plan snapshot identifies unmet dependencies, write-scope overlaps and cards that are genuinely ready.

Safe parallel work

Independent tasks can launch across different model families at the same time. AIWorkHub blocks parallel claims when dependencies are unmet or write scopes collide, preserving a deterministic path back to the canonical repository.

A truthful lifecycle

Pending, processing, review, blocked and finished are operational states—not optimistic labels. Launch failures, timeouts and worker failures remain distinguishable and callback-eligible.

Manager-owned integration

Workers submit evidence and stop. The current repository manager verifies the candidate tree and either promotes it, rejects it with exact feedback or creates bounded residual work.