TLDR Tech / Data
How to Build Robust Data Pipelines with AI
AI-generated data pipelines tend to run fine but be silently wrong since models are non-deterministic and blind to the actual data. Adhere to fundamentals like parameterization and idempotency, let the agent inspect real schemas via database MCPs, define the output as an upfront contract validated before publishing (Write-Audit-Publish), and package it all as reusable skill files.
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