Practical technical posts on why AI agents querying replicated enterprise data (Lightspeed, Square, PeopleSoft) return wrong totals when naive column names are trusted. Each issue walks through a concrete data-modelling trap and how to query around it.
Website: https://blog.agami.ai/
An engineering blog from the Sequin team covering Postgres change data capture, pipeline architecture in Elixir, and product announcements. Readers get detailed explanations of design decisions such as back-pressure, delivery guarantees and duplicate handling.
AnomalyArmor's blog covers data engineering practice: alert storms in data monitoring, when data contracts are worth adopting, and where dbt tests stop and data observability begins. Readers get concrete, opinionated explanations with examples for data teams deciding how to catch pipeline failures.
Michelin's internal IT engineering blog publishes practitioner articles on data architecture for tyre telemetry and on experiments with AI coding tools such as Copilot's Auto mode. Readers get measured, first-hand accounts of engineering trade-offs, with concrete traces and experiments rather than marketing.
A technical blog-style newsletter by a data engineer documenting hands-on experiments with dltHub's platform API, Snowflake Cortex agents for pipeline failure triage, and small local decision models for classification tasks. Each issue walks through concrete setups, code, and findings, with an informal voice and practical detail.
One short email a week with hand-picked newsletters from the index. Free, no spam, unsubscribe anytime.
