Vibe Coding ControlVibe Coding Control (VCC)
AI coding workflows you can follow
Vibe Coding Control (VCC) keeps agent-reported work connected to its task and result. These examples show how an AI coding project tracker supports everyday development while the owner remains involved.
One agent, one reviewable result
Ask an agent to make a change and record the task in VCC. Follow its reported progress, review the result on LOCAL and request corrections before accepting it. The history gives you a record beyond a single conversation.
Several developers on one project
In a shared project, invited members can follow the same tasks and work with their own agents. Separate development runs make it easier to see who reports each change. Integration and conflict resolution still require the normal development tools and checks.
A handoff to the next agent
A new agent can read the selected project's VCC context, open tasks and earlier reports through MCP. Ask it to continue the existing task when appropriate. Context helps the handoff, but it does not replace checking the current code or give access to private chats.
From LOCAL to Production
Use the history to distinguish a tested local result, an integration candidate and a published release. Review the exact result before giving release permission. VCC records decisions and available evidence; a label alone is not an independent verification of deployment.
History after a task ends
Completed tasks remain part of the project's development timeline while the account and project are retained. You can return to earlier results, decisions and releases when planning the next change.
Does VCC read all my AI chats?
No. Agents exchange project information and report work through the VCC MCP connection. Messages in unrelated chats do not automatically appear in the history.
Does VCC replace Git or my coding tool?
No. Keep your editor, Git workflow and normal checks. VCC brings the reported work, context and owner decisions into one history.
Does an approval publish the application?
An approval records the owner's decision for a specific request. The responsible developer or agent still carries out the approved work through the project's normal tools and permissions. Remote MCP itself does not deploy.
Is an agent's progress report proof that a release works?
A report tells you what the agent recorded. Review its evidence and the relevant environment checks. Do not treat a completed task or an HTTP 200 response alone as proof of a successful release.
Can I use VCC on my phone?
You can review project history and decisions in a browser on your phone. Local coding work uses the project computer and Connector; the phone does not become a remote coding environment.
Who can read the project history?
Access requires VCC sign-in and the appropriate project permissions. A connected AI client receives the access you authorize. See the Privacy Policy for the service's data handling.