How to Build Golden Paths in Platform Engineering

Golden Paths are opinionated, documented, supported, self-service workflows for common engineering tasks, enabling developers and increasingly AI agents to provision services and infrastructure through standardized templates rather than ad hoc processes. Owned by platform teams, they typically cover frequent use cases such as new services, databases, storage, queues, and preview environments, while specialized needs follow exceptions processes. Effective paths combine reusable infrastructure modules, CI/CD definitions, policy guardrails, clear human- and agent-readable documentation, and a portal or catalog interface, and should be introduced by assessing current bottlenecks, building minimal-input templates, piloting with users, and planning ongoing operations such as upgrades, drift detection, deprecation, and decommissioning. For agent use, the same workflows should be exposed through APIs or MCP servers with typed schemas, structured results, separate scoped identities, audit trails, rate limits, and approval gates for production changes. Success depends first on adoption, followed by delivery, reliability, user-experience, business, and agent-specific metrics. The Spacelift example demonstrates these concepts through a governed AWS Postgres provisioning path that uses versioned OpenTofu modules, templates, environment-specific controls, automated policy checks, scheduled drift detection, and human approval for production, accessible through either a user interface or an AI agent.

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