The Indie Founder Schema-to-Shipped API Playbook
Go from data model to deployed API with tests and docs in one afternoon
For solo technical founders who spend too long on database boilerplate and API scaffolding instead of building features. This playbook chains schema definition, AI-assisted code generation, automated code review, and auto-generated documentation into a single flow. The result is a production-grade API with tests, migrations, and living docs shipped in hours, not days.
Goal
Ship a production-ready API with database schema, tests, and documentation in one focused afternoon
Who this is for
Solo technical founders and indie hackers building their first or next SaaS API backend
When to use
When you're starting a new service, adding a major feature, or rebuilding a brittle legacy endpoint
When NOT to use
When your data model is still changing daily — finalise your schema before running this playbook
How to set it up
Define your schema in Zod
Open schemic-your-database-schema-in-the-zod-api-you-know and define your core data models. Generate your DDL, TypeScript types, and initial migrations. Commit the output to your repo as the single source of truth before touching any code.
Scaffold your API with AI assistance
Open cursor with the generated schema and types loaded as context. Prompt it to scaffold CRUD routes, validation middleware, and error handling. Use the chat to iterate on edge cases — aim to have working route handlers in under 45 minutes.
Review all AI-generated commits locally
Before pushing anything, run atlas-local-first-ai-code-reviewer-for-claude-code-codex-cursor against your working branch. Address every flagged issue — focus on security, input validation, and anything that touches your database migration.
Gate the PR with automated QA
Open a pull request and let ovi-ai-ai-qa-partner-that-helps-startups-ship-fast-at-high-quality run its automated test suite and PR review. Only merge once it passes — treat this as your non-negotiable deploy gate for every API change going forward.
Auto-generate and publish living API docs
Connect moxie-docs-automatic-codebase-documentation-and-mcp to your repo post-merge. Let it generate endpoint documentation, schema references, and usage examples. Share the MCP endpoint with any contractors or AI agents that need to call your API.
Define schemas once in Zod, generate DDL, types, and migrations for any database
Lets you define your data model once in Zod and automatically generates DDL, TypeScript types, and migrations for your target database.
Builds the API route handlers, validation logic, and service layer from your schema with conversational AI editing in a familiar IDE.
Review AI agent commits locally before they reach production
Reviews every AI-generated commit locally before it reaches production, catching regressions and security issues in seconds.
Auto-generate searchable codebase docs that stay in sync
Auto-generates searchable API documentation from your codebase that stays in sync as you ship new endpoints.
AI QA partner that reviews PRs, runs tests, and gates deployments
Reviews PRs, runs tests, and gates deployments so no endpoint ships without passing a quality bar — without a QA hire.
Expected outcome
A deployed API endpoint with Zod-validated schema, generated migrations, AI-reviewed code, and auto-generated documentation your agents and contractors can query
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