AI-Native Software Factory Operating Model: From Intent to Release
The operating model behind an AI-native software factory: SpecBundle intake, specialized agent roles, quality gates, CI/CD, and production policy — not a chatbot on a backlog.
By Emerson Amorim · Founder and Principal Software Engineer
An AI-native software factory operating model is how work flows from business intent to production software when agents are first-class workers — under industrial engineering constraints.
Operating stages
- 01IntentSpecBundle
- 02Orchestrateroles + policy
- 03Build & testCI evidence
- 04Releasepolicy gate
Non-negotiables
- Structured intake — not a Slack thread as the system of record
- Role-specialized agents with tool allowlists
- Versioned artifacts (ADR, OpenAPI, tests, runbooks)
- Human gates on architecture, security, and production write paths
- Observable delivery metrics the board can read
EmerSoftware runs this model with EmerAgents as the orchestration layer inside the factory — so “AI-native” is not a slogan on a PMO deck.
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