Instead of just suggesting code, these systems can understand goals, break tasks into steps, retrieve context, and execute workflows using reasoning.

This shifts developers from writing code manually to supervising AI-driven development processes.

It can improve speed and automation in enterprise workflows like testing, debugging, and deployment, but also raises concerns around reliability, security, and control.

Overall, it points toward more autonomous software development, still evolving and not fully mature.