AI challenge

We're stuck on authentication, the database or permissions

Sometimes the problem isn't vague at all. Login doesn't work properly, permissions leak, a migration fails or your data model gets in the way. Then you don't need a big advisory engagement, but someone who solves the hard technical part.

Does this sound familiar?

This is usually a well-defined technical problem that can still eat up a surprising amount of time.

  1. Login or OAuth doesn't work reliably

    Redirects, callbacks, tokens or sessions behave differently than expected.

  2. Roles and permissions are unclear

    Users can do too much, too little or inconsistently different things.

  3. The data model gets in the way

    New functionality doesn't fit well with the existing tables and relations.

  4. Migrations or data problems block deployment

    You can't safely continue without first solving the underlying database problems.

Where do you want to be?

You don't want a complete redesign. You want the concrete technical blocker to disappear without introducing new problems.

The blocker is solved

The auth, database or permission flow in question demonstrably works as intended.

The solution is safe

We fix the problem without compromising data integrity or access.

Your team can move on

The relevant choices and points of attention are clear enough to carry on developing yourselves.

Why does this happen?

Authentication, authorisation and databases are fundamental parts of software. A quick workaround can therefore cause much bigger problems.

See how we approach this

The problem touches several layers

Frontend, backend, provider, database and permission model all need the same picture of the user.

Mistakes have serious consequences

A wrong fix can lead to data loss or access to data that should not be visible.

External providers add complexity

Auth and database platforms abstract a lot away, until you leave their happy flow.

Why 9to5 for this?

These are ordinary senior software engineering problems. That's exactly why they don't necessarily need a whole AI engagement around them.

View cases

Straight into the code

No weeks of analysis when the technical problem is already sharp enough.

Security counts

A working login isn't enough if the permissions are wrong afterwards.

No permanent dependency

We fix, test, document and hand over again.

What else fits your situation?