A new tool from Google Cloud aims to improve the accuracy of AI agents querying databases in multi-agent systems or ...

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

I’ve been working with Microsoft BI tools for 28 years now and for all that time Microsoft has been consistent in its belief ...

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 ...

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 ...

Yuki Launches BigQuery Cost Optimization Platform, Eliminating 3-Year Commitments While Cutting BigQuery Spend by Up to 60% ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

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.