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

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 ...

Chinese humanoid robots are moving closer to the US market as startups like LimX expand overseas, raising pressure on Tesla’s ...

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 ...

Developer behind it is sick with worry he might have changed software development in nasty ways Feature Open source developer ...

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 ...

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 ...

The database is no longer just where data lives, but where context gets assembled – and in AI, context is everything.