AI coding tools are fast, but fast is not the same as right. HyveVibe gives each change a plan, an owner, tests, and an independent review before a person decides to merge it. Hyve uses it to build its own products.
How a change runs
Each piece of work starts from a GitHub issue and gets its own isolated workspace and branch, recorded with who owns it.
One model reads the issue and the repository and writes the plan.
A second model implements the plan in that workspace.
Tests and checks run; a required test that fails stops the run.
A separate model reviews the change and an adjudicator decides whether it is accepted or blocked.
The change becomes a pull request. A person opens, merges, and ships it from the dashboard.
Evidence and oversight
One record says which run owns which workspace, so two runs never work on the same thing at once.
Each AI process reports its activity and resource use while it runs, so a stuck run is visible, not silent.
Plans, test results, and review verdicts are kept with the run, so the result can be checked later.
Models
Planning and review run on one AI coding tool and implementation on another today. Each role names the tool it uses, so a role can move to a different model without changing the process.