Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Overview: SQL remains a core skill for data management across industries in 2026Free courses build fundamentals while paid ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...

The most simply-named product names can sometimes have the most surprising of origins. Behind two of the world’s most ...

Healthcare organizations gain access to Claude Opus 4.5’s reasoning capabilities specifically optimized for medical and ...

Antigravity is a proprietary fork of VS Code that tightly integrates Google's Gemini 3 models, giving you an edge if you want ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

A single server setup is where everything runs on one machine—your web application, database, cache, and all business logic.

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.