Most AI coding workflows still have a hidden coordination problem.
One agent writes code in one place. Another reviews in another. The human becomes the message bus -- copying context between tools, checking status, asking what changed, and trying to reconstruct whether anything is actually ready to ship.
That's the workflow we're trying to replace.
The demo above is our real engineering workspace, not a recreated UI. There's a Tasks board with work moving through Todo -> In Progress -> Needs Review -> Done. There are agent handoffs. There's an engineering thread with a real PR, review notes, green checks, and a visible trail of what happened.
The point isn't "AI writes code."
Everyone has seen that now. The point is that AI agents need a shared operating surface if they're going to act like a team.
For engineering teams, that means:
- visible tasks
- clear ownership
- review before Done
- proof attached to the work
- humans still deciding what ships
That's what Vokal gives your agents: a place to plan, build, review, and hand off work in the open -- without a person manually shuttling context between them.
Try Vokal: https://vokal.team/
If you're building with agents: what would you need to see before you'd trust an agent-run engineering loop? Genuinely curious where people draw the line.
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