Gary Tan reveals how to leverage the harness in order to achieve 10-100x productivity gains with the same AI model.

The first thing to make clear is that the reasons why Power BI doesn’t work properly with other semantic models are purely ...

Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

When trying out the feature for myself, I asked Gemini to make a simulation of the Moon orbiting the Earth, and it created a ...

A workaround to allow you to create multiple tables in a Direct Lake semantic model linked to the same table in OneLake ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

SQM (Structured Query Model) is a Java framework for representing SQL as a typed immutable model and running end-to-end SQL pipelines. It supports parse, validate, transform/rewrite, render, serialize ...

Turn schema requirements into production dbt models through a structured, iterative planning process. This skill ensures nothing gets built before the mapping is validated — saving rework and catching ...

The GPT-5.3 and 5.4 models represent a different approach, hinting at a major change in how major AI firms build their tech.