Notebook & IDE workflows
For: Analysts and engineers living in Jupyter and VS Code
SQL gets written in notebooks and editors, not in a separate review tool. l0l1 meets it there, so feedback arrives in the same cell or file where the query is drafted.
The problem
A validation step that lives outside the notebook or editor is a validation step that gets skipped. Context-switching kills adoption.
How l0l1 helps
l0l1 ships a Jupyter magic that brings validation and PII scanning inline, and a VS Code extension built on an LSP server that surfaces validation and completions as you type. The same checks are also available via the CLI and REST API for pipelines.
In this workflow
- 1
Draft SQL in a notebook cell or an editor buffer.
- 2
l0l1 validates against schema and scans for PII inline.
- 3
Completions are drawn from your workspace’s approved patterns.
- 4
The same operations run in CI via the CLI or REST API.