For a long time, software engineering has talked about a familiar trade-off: rigid vs flexible systems .

Static typing vs dynamic typing

Relational databases vs schema-less storage

Strict architectures vs “just ship it” codebases

The usual story is simple: rigidity slows you down, flexibility speeds you up.

But this framing is becoming less useful.

In the context of AI-assisted development, the real axis of optimization is shifting away from rigidity vs flexibility and toward something more precise:

implicit systems vs explicit systems

And that shift changes how we should think about many foundational technologies.

The old model: speed vs structure

Traditionally, we’ve optimized software systems around a few competing forces:

Solo developers prefer speed and flexibility

Teams prefer structure and predictability

Large systems gradually accumulate constraints to manage complexity

This is why tools like :contentReference[oaicite:0]{index=0} have thrived for rapid iteration, while systems like…