01
Your data gets tangled
With no table relations or constraints, duplicates and gaps appear, and data drifts further with every new feature.
§ AI Code Audit
AI Code Audit
Built fast with AI and it runs, but you are not sure what is underneath? We review the database and architecture and rebuild them into a structure you can operate.
01 Signs
If you see these signs
Problems that show up often in services built with AI coding tools.
02
It slows down as users grow
Queries without indexes and repeated calls make responses slower as data accumulates.
03
Fixing one thing breaks another
Code stitched together without structure fails in unexpected places after small changes.
04
Security worries you
Missing authentication and permission checks or exposed secrets can leave data open.
02 Process
How we put it right
We do not rebuild everything. We keep what works and set the foundation straight.
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Code & database review
We read the code, database schema, and infrastructure setup and find the risky spots.
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Audit report
We rank the problems by priority and propose what to fix and how.
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Structural fixes
We carry out the schema redesign, data migration, and architecture cleanup ourselves.
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Handover & guide
We hand over the improved structure as documentation and set guidelines so you can keep building safely with AI.
03 Areas
What we look at
The audit centers on three areas.
Database design
Schema, table relations, indexes, migrations, backups
Architecture
Module boundaries, API structure, state management, deployment setup
Security & reliability
Authentication and permissions, secret management, error handling, monitoring
04 — Contact
Let's start your project together
From idea to launch and operation, MintSoft is with you.