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Phase 4 • Build

Code Generation Agent

Once the mapping is approved, this agent writes the actual production code — turning the agreed logic into Snowflake-ready pipelines, built in the right order so they work the first time.

What it does

This is the step that traditionally takes engineering teams the longest. The agent reads the reviewed mapping and produces the production code that builds each table and loads it with the right data — following your standards, handling the tricky edge cases safely, and building tables in the correct dependency order. What took weeks of hand-coding is delivered in a fraction of the time.

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Faster, and built right. Independent tables are written in parallel, and the agent automatically handles the careful details — like safe calculations and removing duplicates — that cause real-world pipelines to break.

How it works

  1. Take the approved mappingStarts from the signed-off source-to-target mapping — the agreed source of truth.
  2. Build the tablesGenerates the code that creates each table with the right structure and columns.
  3. Write the transformation logicProduces the code that loads and transforms the data, applying safe patterns to avoid common errors.
  4. Order it correctlyMaps out the dependencies so tables are built in the right sequence, end to end.
  5. Score the resultAn independent check scores the generated code against the specification before it's handed on.

What it delivers

  • Production-ready Snowflake code for every table in the pipeline
  • Built in the correct dependency order, so the whole pipeline runs cleanly
  • Safe handling of the details that break pipelines — division, duplicates, type conversions
  • A full lineage map from source data through to final outputs
  • A completeness scorecard with evidence behind every result
  • Your choice of standard SQL or Snowpark (Python) delivery

Choose the style that fits your team

Option 1

Readable SQL

Step-by-step SQL that's easy to read, review, and maintain.

Option 2

Compact SQL

A more condensed SQL style for teams that prefer it.

Option 3

Snowpark (Python)

Python-based pipelines using Snowflake's native framework.

See it in action

Live Demo

Watch the Code Generation Agent turn an approved mapping into production-ready Snowflake code, built in the correct dependency order.

Works closely with

✏️ STTM Generation Agent 🔎 Code Validation Agent 📦 dbt Pipeline Generator Agent