AI-native test management for QA engineers, SREs, and DevOps teams. From unit tests to chaos experiments: unified in Markdown, validated in SQL. Built for regulated industries where accountability, traceability, and structured evidence are essential.

A new package that helps developers ensure column safety in SQLite queries by analyzing and validating their SQL statements. The package takes a user's SQL query as text input and returns a structured

Airflow + Postgres DQ platform: observability, rule-based monitoring (SQL+JSON), pluggable alerting, Metabase dashboards.

Two-stage LLM-based Text-to-SQL framework with schema retrieval, SQL validation, and self-correction.