📊 220,000 tokens compressed to 1,555. · Data Innovators Exchange

📊 220,000 tokens compressed to 1,555.

Accuracy went up, not down.

That is not a typo.

That is what good context engineering looks like in practice.

Most data engineers are still thinking about AI in terms of prompts. The teams pulling ahead have moved on to something far more powerful: systematically managing what their agents know, when they know it, and how much of it they actually need.

This week's DataPro explainer covers the four pillars of context engineering, translated specifically for data engineers — with real numbers, real frameworks, and three concrete things you can start building this week.

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