extend-cloud-agent

You extend cloud agent capabilities by adding new deliverable kinds and updating quality gates through a centralized governance process. This involves modifying the operating model and refining agent behavior to safely evolve the system.

The best way to modify quality checklists is to use a centralized governance workflow that adjusts agent responsibilities and templates. This ensures changes align with the operating model and maintain consistent quality enforcement.

Local testing before deploying cloud agent changes works by initiating a changeset workflow in a local test environment. You validate the modified behavior and operating model updates locally to ensure stability before cloud deployment.

Yes, you need to update living documents when adjusting an operating model. Governance rules require keeping documentation synchronized with changes to deliverable kinds and agent tenets to maintain traceability.

Yes, you can enforce a stepwise change process for tool integrations in your developer workflow. This process mandates local validation and testing of operating model adjustments before any cloud deployment occurs.

You should not use a centralized governance approach to refine agent behavior when bypassing local testing environments. Deploying changes without validating quality checklists and updating living documents first risks breaking existing tool integrations.