How HoneyBook uses Port to serve engineering & agents across the AI SDLC?

HoneyBook, a client-management platform serving more than 100,000 businesses, uses Port to shift routine engineering tasks from its DevOps team into governed self-service workflows for developers. DevOps engineer Romy integrated Port with HoneyBook’s existing deployment service and Temporal workflows, giving developers visibility into service status, Argo CD health, production commits, pending changes, logs, deployments, and rollbacks without direct cluster access. Safety controls restrict deployments to developers, require end-to-end tests to pass, and mandate manager approval for overrides. HoneyBook also automated new-service creation, including GitHub repository setup, organization placement, and approval routing. The company is now extending Port’s engineering context and controls to AI agents through MCP, initially limiting agent actions to staging environments while applying the same permissions, testing requirements, and approval safeguards used for human developers.

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