Ai
237 posts filed under Ai.
Coalesce Context As Infra
Treat your metric definitions like a Terraform file, or keep the agent away from them.
Read →DE Role Evolution 2026
If a model writes the pipelines, I don't know yet where your juniors learn why pipelines break.
Read →Semantic For Unstructured First
Most AI data problems I see start in a column called payload, long before any embedding.
Read →Orchestration Consolidation Matrix
Count the places a job can be scheduled in your data stack. Include the cron on that one VM.
Read →BigQuery Scan Cost Surprises
LIMIT 10 doesn't reduce what BigQuery scans on an unclustered table. A lot of teams learn that from the invoice.
Read →dbt Coalesce Metadata Shift
The description fields in your dbt project used to be read by nobody. Now an agent reads them.
Read →Governance Before AI Act Fines
The provenance record behind an AI feature fits in a YAML file next to the pipeline code.
Read →Process Before People Fix
Before you replace the data engineer who seems slow, count how many people can hand them work.
Read →Stack Impact Analysis
Before any stack change I ask how many consumers it touches and whether we can undo it by Friday.
Read →Rust Is Quietly Becoming the Language of Data Infra
The fastest tools in your data stack are written in a language nobody on your team writes.
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