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Your Coding Agent Is Only as Useful as What It Knows About Your Data

Coding agents often produce syntactically valid but contextually wrong code for data work because they lack knowledge of your actual schema, governance policies (RBAC, masking, row access), and platform-specific APIs. Generic agents require manual context injection that becomes a maintenance burden. Platform-native agents like Snowflake's CoCo solve this by running under your actual Snowflake role, reading your catalog directly, and shipping with built-in skills for Snowflake-specific tasks like ACCOUNT_USAGE queries, lineage tracing, and PII classification — eliminating the scaffolding overhead.

    #ai-agents#big-data#data-engineering#snowflake#context-engineering
Aug 04•5m read time•From medium.com
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Coding Agents Belong in Data WorkWhat “Context” Actually Means for a Data StackGovernance Is the Layer Most People Don’t Think About Until It Breaks SomethingGet Luke Hartzell’s stories in your inboxSome Knowledge Can’t Be InjectedThis Is the Problem a Platform-Native Agent Actually Solves
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