datahub-connector-pr-review

Automated code review for DataHub connectors integrates directly into CI/CD pipelines to provide instant feedback on pull requests. It evaluates connectors against 22 DataHub standards, covering architecture, code quality, testing, and security before human review.

A DataHub connector compliance audit covers 22 golden standards, assessing architecture, code quality, testing, and security. It leverages specialized agents to evaluate error handling, test analysis, type design, and code simplification to ensure merge readiness.

Yes, local audits are supported alongside automated PR reviews. You can review your connector code locally to identify non-compliance with lineage standards, missing tests, or potential errors, receiving actionable feedback before merging.

DataHub connector code reviews are structured using a multi-agent approach. Specialized agents independently analyze error handling, test coverage, type design, and code simplification to ensure connectors meet quality, security, and performance benchmarks.

Yes, the review process checks for missing tests and validates compliance with DataHub lineage standards. It automatically analyzes connector code to identify these potential issues and provides actionable feedback to ensure merge readiness.

The best way to ensure merge readiness is conducting an in-depth, multi-agent code review. This evaluates the connector against DataHub's golden standards, ensuring quality, security, and performance benchmarks are met before merging.