A repository is ready for the tested coding-agent tasks when they pass in a reproducible environment, review time stays within the agreed range, and permissions enforce the defined control rules.
Repository-resident purpose, commands, ownership, restrictions, and deployment boundary
A fresh agent should be able to find the project purpose, install command, test command, ownership rules, task restrictions, and deployment boundary without reconstructing them from chat history. GitHub documents repository and path-specific instructions for this purpose. The pilot should prove that those files work by giving the task to a new session that did not participate in authoring them.
The clean run must start from a named commit and use an environment that the team can reproduce. Any hidden global dependency, unrecorded credential, or local data fixture becomes a hold item. A successful run also records what the agent could not access, because blocked actions demonstrate that the permission boundary is operating.
Evidence required for each task class
Each class needs representative passes, deterministic acceptance checks, a review-time range, and a named owner. Three successful isolated test repairs do not establish that the same controls fit a schema migration. Approval should therefore say exactly which files, commands, and risk level the evidence covers, and the workflow should hold work that falls outside that statement.
Deployment remains a separate decision. GitHub environments can require approvals, restrict branches, and limit secret access before a deployment job runs. Those controls help preserve the boundary between an agent preparing a change and an authorized person deciding that the change can reach a production target.
Post-pilot receipts for new failures, review cycles, and exceptions
The first weeks of normal use should continue the same task receipts used in the pilot. New failure types, longer review cycles, or repeated exceptions show where the approved boundary needs revision. DORA studies of AI-assisted development report that workflows and internal platforms affect adoption outcomes, so the review includes repository-system constraints as well as agent output.
Coding Agent Repository Pilot prepares the repository evidence through Reality Contact, LLC. The buyer approves task classes, account access, merge policy, and deployment policy, and can hold any task without relying on the pilot's recommendation.
Where the service stops
Reality Contact, LLC configures and measures the supervised pilot, but does not approve production changes, replace the buyer's security or legal review, manage employees, or allow an agent to merge outside the written controls. The buyer reviews the evidence, decides which task classes the repository controls support, and retains responsibility for accounts, permissions, merges, and deployment. This is technical implementation and review support; it does not replace the customer's security, legal, employment, procurement, or production-change review. We do not promise productivity, defect reduction, autonomous operation, successful deployment, or approval of any task class.
Sources: GitHub repository custom-instructions guide; GitHub deployment-environment controls; Google Cloud DORA AI-assisted development report.