I built HP Server, an AI-native developer operations platform that turns structured requests into governed, verifiable technical work. It coordinates source changes, testing, Git workflows, integrations, deployment, runtime operations, browser validation, and durable proof through bounded capabilities rather than manual command relay. I designed the system to keep AI-assisted development fast while preserving authority boundaries, recovery paths, project state, and evidence of what actually changed. The platform is actively used to build and operate real software projects at Results Innovations.

One architectural decision changed everything. "We don't deploy into our own cloud." Customers design their backend visually. Our platform generates the Terraform. It deploys straight into their cloud account — not ours. That sentence sounds simple. In practice it forced us to rethink five things: • Terraform state architecture — one isolated state per service, not one shared state per customer • Identity separation — every tenant runs on its own scoped credentials, sealed off from the rest • Existing-resource adoption — customers already have infrastructure, so we import it instead of fighting it • Parallel deployments — many resources at once, without stepping on each other • Runtime vs infrastructure health — "did it deploy" and "is it healthy" are different questions The hard part was never generating Terraform. It was making a system safe enough that someone would point it at their production account. I designed and built this end to end — the architecture, the Terraform generation, the deploy pipeline. If your team is heading somewhere similar, or you're about to point automation at a customer's production account for the first time, happy to compare notes. 👋