Emulators

Emulators that make an AI coding agent viable as the builder of Azure-shaped applications and data products. The agent builds and proves everything offline against local, clean-room emulators of the control planes nobody else emulates, then moves to the real tenant with no code changes. Tenant-speed iteration becomes machine-speed iteration.

Start here

• Overview: the thesis, and who this is for
• The map: every repo, and how they relate
• The emulators: seven services, one discipline
• The data product matrix: one product, three engines
• Building with AI agents: the core value story
• Why these emulators: the comparison
• Getting started: three doors in
• Mirrored images: what the family pulls, and from where
• CI status: is the whole ecosystem green
• Roadmap: what earns a new emulator its place

The landing page above these docs carries the argument, the evidence numbers and an honest status table, all generated from the same registry and ledgers these pages read.