Now in closed beta.Book a demo to get started.
Use cases

Add tests a transformation model never had

Pipelines and warehouse|Everything this ticket has to prove is checked by machine, so it can be handed over as it is. A person still reads the pull request and decides whether to merge it.

A transformation model with no assertions, given uniqueness, not-null, and accepted-value tests.

The ticket

Add uniqueness, not-null, and accepted-value tests to one transformation model.

Acceptance criteria

  • Each test is proven to fail against seeded bad data
  • Primary keys are asserted unique and not null
  • Enumerated columns assert their accepted values
  • Failures block the downstream models rather than warning

What lands as proof

Each test demonstrated failing against seeded bad data, which is what distinguishes a test from a comment.

Why teams defer it

  • The numbers look plausible, which is the most dangerous state for data to be in.
  • Nobody owns the model between the analyst who wrote it and the engineer who runs it.

Questions

What does the agent actually change?
The ticket is scoped to one outcome: add uniqueness, not-null, and accepted-value tests to one transformation model. Work that serves that outcome is in scope, and anything outside it is left for a separate ticket, so the pull request stays reviewable.
How do I know the work is done?
The pull request carries the evidence, not only the diff. Here that means each test fails against seeded bad data, so a reviewer can confirm the result without reproducing the work locally.
How much oversight does this need?
None is required before the run starts. Every claim this ticket makes can be checked by machine, so the agent works straight through and a person reviews the finished pull request like any other.

Ready to put the fleet to work?

Contact us for a demo with an expert.