Ai
243 posts filed under Ai.
Cost Of No Data Contracts
A team of 8 data engineers spent roughly 30% of their week negotiating schema changes in Slack.
Read →AI Modeling Crisis Patterns
Every failed RAG project I've reviewed had the same upstream issue: nobody modeled the data underneath it.
Read →Series A To B Stack Pivot
The warehouse that carried you to Series A can quietly become the wrong one by Series B.
Read →Hiring Retention Via Culture Fit
We changed one screening step and two senior data engineers are still there, past year two.
Read →EU Reg Overlap Decision Aid
We mapped NIS2, DORA and GDPR incident duties for one client. One incident record fed all three.
Read →Data Product Canvas Update For AI Consumers
Your newest data consumers don't file tickets. They're AI agents, and they break differently.
Read →The Temporary Pipe That Stayed
A "temporary" sync script ran for 18 months. It was quietly eating 20% of the compute bill.
Read →Phoenix Project Lessons For DE
The Phoenix Project is 13 years old. Data teams still run their backlogs the way it warns against.
Read →Team Complexity Post-MVP
By 20 engineers, most data teams have one person every change waits on. The backlog put them there.
Read →Too Deep Into Snowflake" Is an Architecture Smell
You can measure architecture health by the price of an exit. For one stack I reviewed, it was 18 months.
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