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

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

I tried four vibe-coding tools, including Cursor and Replit, with no coding background. Here's what worked (and what didn't).

Learn two ways to manage workflow state on n8n, from canvas logic to tables that validate order numbers, for consistent ...

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

First, Tromjaro boots very fast. On top of that, Tromjaro performs like a champ. This Linux distribution can compete with any lightweight OS on the market.

For the last few years, the narrative around Generative AI in science has largely focused on administrative efficiency – ...

Learn the essentials of CIAM for modern software development. Explore passwordless authentication, mfa, and how to scale user management securely.

The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a ...

Overview: Data analyst certifications help convert theoretical knowledge into job-ready skills.Different certifications suit ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.