Use cases

One generator, several jobs. All run on PostgreSQL today, and reach SQL Server and Oracle as those engines mature.

AI use cases

Where AI writes your database code, and you need to see, trust and hold what it produced.

AI behavioural transparency

AI wrote the function. Run the tests and the report shows what each branch does.

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Guardrail for AI-written code

Generated tests pin today's behaviour. An AI edit that breaks it fails before production.

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Generated, not guessed by AI

Tests worked out from your code and checked against your database. The same tests every run.

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Other use cases

Unit testing for developers

Generated unit tests and seed data for every routine, with branch coverage. Free.

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Integration testing for QA

Tests each function together with the functions it calls and the triggers it fires. Coverage across the whole chain.

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CI reports for DevOps

JUnit, coverage and HTML reports from every run, ready for the CI check that gates your merges.

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Behavioural change verification

Migration tools deploy the change. UnitAutogen proves the logic still behaves the same.

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Prove tenant isolation and security

seccover tests your RLS policies and the code that bypasses them. rlsautotest tests the policies for free.

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Compliance evidence

Dated pgTAP tests and reports as supporting evidence for HIPAA and SOC 2 access controls.

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