Modernize Pipelines Without Drift
MetaMask, a leading Web3 software company, partnered with Factored to modernize its data engineering pipelines. To streamline workflow orchestration, MetaMask deployed Claude Code to refactor legacy Airflow DAG configurations into type-safe Pydantic structures.
Configuration Drift Slows Scale
To support rapid platform growth and maintain reliability, Web3 leader MetaMask needed to eliminate configuration drift across environments by migrating legacy JSON-based Airflow DAG settings into a standardized, type-safe framework.
Automate The Refactor
MetaMask deployed Claude Code to automate codebase analysis and refactor Airflow DAG configurations into type-safe Pydantic models—co-locating pipeline settings and integrating automated CI validation guardrails.
10× Faster. Zero Drift.
- ~10x Migration Velocity: Accelerated refactoring throughput by ~10x, completing pipeline configuration conversions in hours instead of days.
- 100% Validated Test Coverage & Zero Drift: Achieved a 100% pass rate across automated Airflow parsing tests, eliminating configuration drift across dev, staging, and production environments.
