Can you audit an app when the code lives inside the platform?

Yes. Where we cannot read source, we test behaviour: an account per role, every endpoint exercised with every token, identifiers swapped to see what comes back, and the export surface probed for what it will and will not give you.

How do you actually test record-level access?

We build an access matrix - every object type down one axis, every role across the other - then call the API as each role and record what it returns.

Should I migrate off Base44?

Usually not yet. The platform is doing real work for you, and migrating early trades a working product for a rebuild.

What can you fix without leaving the platform?

Most of it: record-level authorization, the data model and indexes behind slow screens, error handling, tracing and alerting, integration reliability, and the export path.

Platform playbook

Make your Base44 app production-ready

Base44 builds full-stack internal tools and SaaS quickly. The questions that follow are about ownership: where the data lives, who can reach it, and what happens when you outgrow the platform.

Book a Free Call Start with a free check

Base44

Most common critical finding

Authorization enforced in the interface but not at the data layer, so the API returns other tenants' records.

Production Check: Free, 3–5 days
Typical engagement: 3–4 weeks
Hardening from: $2,000, fixed scope

What we find

Where Base44 apps break in production

What actually goes wrong, and why you would not have spotted it yourself. These are the findings we file most often, not a generic checklist.

Finding 01
Your data is shaped for the platform, not your business
Schemas optimized for the builder's conventions rather than for your query patterns, which gets expensive as data grows.
Platform-shaped data model
Finding 02
Staff can see things only an owner should
Access control that is right at the page level but wrong at the record level, so users can reach data belonging to other accounts.
Coarse permissions
Finding 03
When it breaks, nobody can tell you why
When something fails there is no trace, no structured log, and no way to reconstruct what happened.
Limited observability
Finding 04
Getting your own data out is a project, not a button
No tested path to get your data and logic out, which turns any future migration into a rescue project.
Export as an afterthought

What we do about it

The Base44 fix list

Most of this is fixable inside Base44. We only recommend migrating when the numbers say so - and even then, the export path is worth building on the day you decide to stay.

How the hardening works

Model the data around your real access patterns and add the missing indexes
Enforce authorization at the data layer, not only in the UI
Add tracing, structured logs, and error tracking with alerting
Build and test a repeatable export path for data and configuration
Introduce CI/CD, environments, and code review around changes
Plan and execute a migration to your own cloud when it pays for itself

How it runs

A typical Base44 engagement

Durations from real projects of comparable size. The check is free and everything after it is quoted as fixed scope, so you know the price before we start.

1
Production Check
3–5 days
We create an account per role and exercise every endpoint with each one, then compare what the interface shows against what the API returns.
2
Close the record-level gaps
Week 1
Authorization enforced per object type at the data layer rather than per screen, tenant boundaries made explicit, and the access matrix turned into repeatable tests so a new field or a new role cannot quietly open a hole.
3
Data model, indexes, observability
Week 1–3
We reshape the collections your slow screens actually query and add the indexes that were never there.
4
An exit that exists on paper
Week 3–4
A scripted export of data and configuration, run on a schedule into storage you own and restored once to prove it works.

No lock-in

What you keep

Everything we produce belongs to you. If you stop working with us tomorrow, nothing stops running and nothing becomes unmaintainable.

Your accounts and your code
The repository, the cloud accounts, the database and the domain stay in your name.
The report, whatever you decide next
Findings, severity ratings, reproduction steps and effort estimates, written for an engineer.
Infrastructure written down
The environment is defined as code in your repository and comes with a runbook: how to deploy, how to roll back, how to restore, and what to check first.
A tested way out
Even if you stay on Base44 for years, you finish the engagement with a scripted export of data and configuration that has actually been run and restored.

Questions

Base44 questions we get asked

If yours is not here, ask it on the call. The first one is free and there is no obligation afterwards.

Yes. Where we cannot read source, we test behaviour: an account per role, every endpoint exercised with every token, identifiers swapped to see what comes back, and the export surface probed for what it will and will not give you.
We build an access matrix - every object type down one axis, every role across the other - then call the API as each role and record what it returns.
Usually not yet. The platform is doing real work for you, and migrating early trades a working product for a rebuild.
Most of it: record-level authorization, the data model and indexes behind slow screens, error handling, tracing and alerting, integration reliability, and the export path.