Metatable.ai
Build a Barber Shop Reservation Backend in 60 Minutes
Create a complete Rust backend, database schema, and deploy API endpoints for a barber shop reservation system in under an hour using Metatable.ai.
The Workflow
10 steps · click a step number to mark it done
Open Metatable.ai and have it ready before you start
Open Metatable.ai, click 'Create New Project', and paste the barber shop reservation brief into the text field.
Start the AI agent; answer its clarification questions about services, barbers, and appointment flow to define the project scope.
Ask the agent to generate a technical assignment; it will output a detailed database schema, table definitions, and a list of required API endpoints.
Review the technical assignment for accuracy, then click 'Export' to save the document for future reference.
From the generated to‑do list, select the first task 'Create barber_shop table' and prompt the AI to write the SQL CREATE TABLE statement.
Copy the generated SQL and click the 'Run SQL' button to create and deploy the barber_shop table in the cloud database.
Repeat the previous two steps for each remaining table (barbers, services, appointments, clients) until the full schema is deployed.
Select the next to‑do item 'Create endpoint to add a barber shop' and ask the AI to generate Rust handler code for a POST /barbershops endpoint.
Review the Rust code, resolve any missing imports, then click 'Deploy' to publish the new endpoint.
Use Metatable.ai's built‑in API tester to send a sample JSON payload to the POST /barbershops endpoint and verify a successful response.