AI agents prompted SQL and Python verification shifts left

As business users and analysts increasingly rely on AI agents to write SQL and Python code, the primary bottleneck in data analytics has shifted from creation to verification. The author argues that managing this liability requires moving toward unified declarative data stacks, leveraging hierarchical lineage directed acyclic graphs based on abstract syntax trees, and shifting assertions left through a comprehensive test suite hierarchy spanning linting, compilers, and unit tests. Open article →