AI is powerful, but it is not magic. Just because developers use AI tools does not mean outcomes will improve automatically.

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

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

Bernand Lambeau, the human half of a pair programming team, explains how he's using AI feature Bernard Lambeau, a Belgium-based software developer and founder of several technology companies, created ...

Discover 7 common Django scaling issues and learn practical solutions to optimize performance, handle high traffic, and scale ...

The Model Context Protocol (MCP) has quickly become the open protocol that enables AI agents to connect securely to external tools, databases, and business systems. But this convenience comes with ...

Software developers are using AI tools more than ever, but many say their confidence in the results is slipping, according to Stack Overflow’s 2025 Developer Survey, which tracked rising adoption ...

Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for ...

You can start using the personal AI assistant right away, but you should understand the security risks first.

Cloudflare recently announced support for aggregations in R2 SQL, a new feature that lets developers run SQL queries on data ...