From prompt to PR: how Careem’s AI writes and validates dbt models before a human ever sees them
Summary
Careem's data platform team built a four-pillar dbt agent (context layer, spec locking, golden vs. transient layers, sandboxed guardrails) that compiles, tests, and materializes each change, self-correcting until the run succeeds before a human reviews the pull request. About 90% of new models now come from this framework, cutting metric delivery from two to three weeks to hours with no sev0 or sev1 incidents since launch.
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