
Forward Deployed Engineering Model: New Solution to Old Problems
More and more enterprises turn to the forward deployed engineering model to solve expensive problems and make AI work. Here’s what FDEs do and why it’s worth the spend.
Check out our blog for our latest thoughts on data, AI, and digital products.

Forward Deployed Engineering Model: New Solution to Old Problems
More and more enterprises turn to the forward deployed engineering model to solve expensive problems and make AI work. Here’s what FDEs do and why it’s worth the spend.

UX principles for trusted healthcare apps
When designing digital products for healthcare, we have to treat stress as a condition, not an edge case. This is how we ensure that we handle sensitivity the right way.

Learn how AI agent sandboxing, least privilege and layered isolation keep one bad command from wiping your home directory.

Moved to Paris, My Career Followed
There's a version of this story where I say yes to Paris and have to start looking for a new job there. That's not the Hifly version.

Databricks Genie Ontology Is Coming—Here’s How to Prepare Your Company
Databricks Genie Ontology was announced in June, and it will launch later in 2026. This gap is the best prep window you'll get. Here's how to prepare.

How KMP Reframes the Cross-platform Question
Instead of “native or cross-platform?”, ask yourself what must differ across platforms, and choose your framework accordingly. Here’s how we do it.

Unified Logging, Observability, and Cost Tracking for Databricks Apps
One setup to build Databricks Apps cost governance and observability, including an open reference implementation on GitHub: fleet monitoring, application insights, cost tracking, and AI code review.