An AI-native SDLC: from prompt to production in seven stages
What actually happens when you certify a feature — the seven stages, the hand-offs, and where you sign off.
In Vibe Mode you build fast and ungated. When a feature is ready for the real world, you certify it — and it runs through all seven agents, from intent to production code you own. Here's the AI-native SDLC, stage by stage.
1 · Requirements
Your prompt and any uploaded docs become a structured spec — roles, flows, acceptance criteria, edge cases. Ambiguity is surfaced as questions, not guessed. You approve the scope before a line is written.
2 · Design
The interface is produced against your design tokens: layout, components, states, responsive behavior — on-brand and accessible, not generic boilerplate.
3 · Schema
The Postgres data model is designed with multi-tenant isolation (schema-per-tenant plus row-level security) by default. Migrations are generated and reviewable — never silent drops.
4 · Page
Real pages get built and wired to state — data fetching, forms, validation, role-gated views — against the schema and design above. The typecheck has to pass.
5 · Integration
External tools are connected with typed clients and proper secret hygiene, so the feature works in your stack, not just in a demo. Secrets are never hard-coded.
6 · Security
Every change is audited end to end — authorization on each route, tenant isolation, input validation, dependency and secret checks. Human sign-off is mandatory here.
7 · Debug
The feature is run, failures are reproduced and fixed in a tight loop until it's green, and the certified code ships into your repo — every line traceable to where it began.
From intent to production, in seven stages. That's the 7 in Dual7.