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Pulumi × Compostable AI

Pulumi x Compostable AI: AI agents manage infrastructure for 19 clients with two engineers

90 minutes to provision and deploy a new customer tenant to production

Engineer as craftsman to engineer as factory operator

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Why it works

The story earns New Capability because the before-state was not merely slow provisioning but an architectural impossibility: infrastructure tooling that required human review was incompatible with an all-agent development model. The 90-minute tenant provisioning metric is concrete and attributable, and the mechanism (TypeScript type system enabling agent iteration, ESC hierarchical config, Neo via MCP server, policy packs for compliance) is explained in enough operational detail to be replicable. The philosophical quote from Dawson about shipping more code in two years than in fifteen adds human weight without being filler.

Steal this

The AGENTS.md file routing pattern: defining in a config file which agent handles which tool-specific task avoids the jack-of-all-trades problem and gives readers a concrete, immediately copyable architectural decision.

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This is editorial commentary and curation. The case study, screenshot, and all metrics are Pulumi's published work; we link to the source and lead with our analysis.

  • Vendor Pulumi
  • Customer Compostable AI
  • Industry SaaS
  • Trigger Growing client base required infrastructure scaling without proportional headcount growth
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page