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PATTERN Cited by 1 source

Agent-first infrastructure API

A platform API design pattern where the infrastructure provisioning surface is designed for AI agent consumption as a first-class citizen — not as an afterthought bolted onto a human-facing UI. Chat, external services, and agents all access provisioning through a single MCP (or equivalent protocol) interface.

Structure

  • Single MCP server as the canonical control point for all provisioning operations
  • Natural-language-compatible input — agents describe intent, API maps to templates
  • Multi-step workflow support — agents can chain provisioning + deployment + data loading + configuration in one sequence
  • Skill-file extensibility — adding a .md skill file enables new agent capabilities without API changes

Rationale

When AI agents can provision infrastructure programmatically, multi-step workflows that previously required human coordination become trivial: "spin up a new workspace, deploy several DABs, upload S3 data, run a hydration script" — all from a single agent command. The MCP abstraction ensures the same logic serves human chat, external service integrations, and autonomous agent workflows.

Benefits

  • Eliminates the UI-as-bottleneck for agent-driven workflows
  • Hyper-personalised environment setup that would be impractical manually
  • Single point of governance — all provisioning (human or agent) goes through one auditable path
  • Skill-file extensibility means new capabilities don't require API changes

Vision

The endpoint of this pattern: an engineer describes a customer situation in plain language → an agent provisions an appropriately configured environment → retrieves relevant context → reproduces the issue or builds the demo → returns a summary ready for the customer.

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