SQLBuild plugs into an existing dbt project to fingerprint models, skip unchanged work, and clone production tables in development instead of rebuilding them. It stores all state in append-only warehouse tables, adds ingestion and Python nodes, and offers built-in testing, audits, and incremental processing with no external services.

• Wraps your existing dbt project (no file edits, no new models) by fingerprinting models/seeds/functions/Python nodes and skipping anything unchanged, even cloning unchanged prod tables instead of rebuilding them.
• All state stored as append-only tables in the warehouse itself—no external service, manifest files, or state machine required.
• Runs audits before data lands: full builds stage until checks pass, incremental models validate each microbatch before merging.
• One pip install gets you a runnable sample project, and it already supports DuckDB, MotherDuck, Snowflake, BigQuery, Databricks, Postgres, and SQL Server.