As we conclude this 15-part series on Vyshyvanka, we want to leave you with practical tools. One of the most common challenges in workflow automation is not moving data, but transforming it. Today, we look at the patterns we use to map, clean, and reshape data as it flows through your pipelines.
The Transformation Challenge
In a real-world workflow, you rarely get the data exactly in the format you need. Service A might return a deeply nested JSON object, while Service B expects a flat structure with different field names. Vyshyvanka handles this through its expression engine and Code Node — giving you both declarative and programmatic transformation options.
Pattern 1: Path Projection with Expressions
When you have a large JSON response and only need specific values, use expressions in your node configuration to extract exactly what you need:
