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How to Build Golden Paths in Platform Engineering
Golden paths are shifting from human-centric portals to API-first interfaces to better support AI agents managing infrastructure.
What: Spacelift details how platform engineers can build opinionated 'golden paths' using OpenTofu modules, policy-as-code, and now, Model Context Protocol (MCP) servers for AI agent consumption.
Why it matters: Infrastructure automation is reaching an inflection point where agents, not just humans, are the primary operators, requiring strict identity scoping and structured API outputs.
Takeaway: When designing new golden paths, include an AGENTS.md file and an MCP server interface to allow AI tools like Claude Code or Cursor to use them safely.
Deep dive
- Define golden paths with five blocks: IaC templates, pipeline definitions, policy guardrails, docs, and a portal.
- Expose infrastructure workflows via MCP servers to let coding agents interact with internal systems.
- Enforce guardrails for agents: require human approval for production changes and set rate/budget limits per agent identity.
- Move toward an 'autonomous' model where agents use pre-approved templates rather than freestyling infrastructure.
- Measure success through adoption metrics first, then delivery performance indicators like change failure rate.
Decoder
- Golden Path: An opinionated, documented, and supported route for a common task, designed to reduce cognitive load on developers.
- Model Context Protocol (MCP): An open standard that allows AI assistants to securely connect to data sources and tools (like build systems or databases).
- Rego: The policy language used by Open Policy Agent (OPA) to write fine-grained governance rules.
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