The code can improve itself, but humans will still be responsible for understanding why something changed and whether it should have changed at all.

The use of artificial intelligence (AI) in software engineering and engineering more broadly has generated considerable discussion. While initial focus often centers on code generation as a primary ...

In today's lightning-fast software landscape, traditional architecture practices are becoming a bottleneck. The velocity and complexity of systems scaling across ephemeral microservices, complex APIs ...