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Why Starting with a Production-Ready Database Schema Matters
A first-draft schema fits on one screen. Two tables, maybe a JSON column for the things you "haven't figured out yet", and a created_at to look responsible. Ship that to a demo, and everything is fine. Ship it to production, and six weeks in you'll be writing a migration that touches every row.
That's the gap. A kit's schema starts you on the other side of it.
This is an excerpt. Read the full post at otf-kit.dev/blog/a-database-schema-you-did-not-design-alone — full-stack kits your AI coding agent can actually ship to production. Browse the kits →
OTF SaaS Dashboard Kit
Ship the product, not the setup.
- 11 production screens — auth, billing, team, analytics, settings
- Real database, payments, and login — all wired on day 1
- AI configs pre-tuned so your agent extends instead of regenerates