Wemux FAQ
This page answers the first questions engineering teams ask when they move from AI demos to a real delivery workflow.
The FAQ is written for engineering leads and operators evaluating how AI work should move from prompt output to auditable delivery.
No. Wemux does not try to replace your existing models or agent runtimes. It gives teams a control surface to route work into real repositories and real workstations, then bring back logs, branches, commits, and reviewable results.
Teams using AI coding in production usually hit the same last-mile issues: tasks stay in chats, the wrong machine owns the environment, Git identity becomes messy, and nobody can review what actually happened. Wemux is built for that execution layer.
Workers can run on local Macs, Linux boxes, shared office machines, or cloud VMs. The point is not where the agent thinks. The point is where the work can safely execute with the right repository, environment, and permissions.
Wemux keeps humans in charge. Agents can execute, retry, and report, but final confirmation, takeover, and approval stay with the team. It is an orchestration and delivery console, not an autonomy fantasy.
Because teams need more than a text reply. They need task routing, isolated workspaces, execution logs, branch outputs, and a review path that fits real engineering workflows.
No. Software delivery is the first wedge, but the same control plane can run research, QA, documentation, launch checklists, and recurring operations work that needs traceable execution.
These links are the next step for teams that already know the pain and want the product framing behind it.