Building full-stack apps with AI builders

Define the application boundary

List the people and systems that interact with your app. Describe what each actor can create, read, update, or delete. An account-based dashboard, for example, may have visitors, signed-in customers, and administrators. Each role needs a clear boundary. Hiding a button in the frontend is not an authorization rule.

Draw the smallest data model that supports the first workflow. Identify required fields, record ownership, relationships, and retention needs. Use fictional records during development. Do not ask a builder to import a production database simply to make a prototype look realistic.

Distinguish authentication from authorization

Authentication answers who the user is. Authorization decides what that user may do. A successful login does not prove that a customer cannot fetch another customer's record. Require checks in the backend and test them with two separate accounts. Try direct record identifiers and requests without a valid session in a safe test environment.

Macaly documents Convex and login options; Lovable and Bolt describe integrated backend capabilities; v0 documents backend connections; Replit describes infrastructure setup. Those are vendor-published capabilities. The specific schema, functions, and access rules in your generated app still need inspection and verification.

Keep privileged operations on the backend

A browser bundle can be inspected by visitors. Never place private API credentials, privileged database keys, or payment secrets there. Use the environment and backend mechanisms supported by the chosen platform. Ask the builder to identify which operations run in the browser and which run in a trusted backend.

Validate inputs at the backend boundary, not only in the form. Check data types, limits, expected state transitions, and the authenticated user. Handle duplicate submissions and repeated webhook delivery when applicable. Prefer a clear, recoverable failure over a success screen that hides an unsuccessful write.

Test a vertical slice

Choose one path that crosses the entire stack. A customer creates a request, the backend stores it, an authorized operator sees it, and the customer receives an accurate confirmation. Test reloads, missing data, invalid input, and a failed upstream request. Verify the stored record rather than relying on the UI message alone.

Record the version and test environment. Keep test and production data separate, and inspect the environment target before publishing. If a schema change could affect existing records, make a backup and plan a compatible migration. A version-history restore of code is not necessarily a restore of database state.

Plan the operating model

Decide who watches errors, responds to users, manages access, and restores data. Verify where logs and backups live and who can reach them. Document integrations and recurring costs. If the app processes personal or confidential data, check the provider's current legal and security documentation against your actual obligations.

Use this process to compare tools fairly. Do not award a full-stack label based on a feature list alone. Judge whether your smallest useful workflow is correct, understandable, and maintainable. We have not benchmarked the tools on these checks; this is an editorial evaluation framework you can apply to your own project.

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Your next useful step.

• Vibe coding for beginners: the learning path
• Full-stack AI apps: architecture learning path
• Deploying AI-built apps: the launch learning path
• AI app builder costs: the buying learning path