DATA ENGINEERING IS THE CACHE INVALIDATION PROBLEM FT. JOSH WILLS

Summary from the TLDR Data newsletter

Large Spark and Ray jobs offer the wrong feedback loop for autonomous coding: errors and cost often appear only after hours of distributed execution. Data engineers remain responsible for the materialization choices and failure cases agents cannot evaluate cheaply. The practical response is not blind generation, but representative tests, cost-aware guardrails, and human review where pipelines lack fast feedback.