AI-driven development will abandon rigid control for disposable, evolving code. Structures become dynamic, with oversight through adaptive guidelines replacing traditional, fixed architectures.
The evolution of software development is increasingly apparent as dynamic systems become more integrated with adaptive AI processes. In my experience, the traditional, rigid frameworks are already giving way to models that prioritize continuous learning and code evolution. Embracing this change can lead to more resilient and responsive systems, and while there are challenges in redefining oversight, the opportunity for innovation is significant. The move towards disposable and constantly refined code calls for a fundamental shift in how projects are managed and maintained.