udf-validate

You can validate DataForge-Compute UDF changes by running a pipeline that checks Rust compilation, TypeScript types, formatting, provider registration, and cargo tests. It stops on the first failure to provide actionable feedback for debugging.

A UDF validation pipeline includes Rust compilation, TypeScript checks, formatting verification, provider registration verification, and cargo tests. This enforces end-to-end requirements including compile success, type correctness, and proper provider registration.

Run UDF validation after modifying any UDF, provider, or compute types in DataForge-Compute. This catches build and runtime errors early by verifying code compiles, types-checks, is formatted correctly, and passes cargo tests.

Yes, UDF validation ensures new or modified UDF providers are properly registered. It runs a deterministic sequence of checks that verifies provider and registry integrity alongside compilation, type checking, and formatting.

The validation pipeline stops on the first failure to provide actionable feedback. This deterministic sequence ensures you can quickly identify and fix compilation, type, formatting, or provider registration issues before proceeding.