The more AI writes code, the more architecture becomes a competitive advantage.

AI is making software development faster.

Features can be generated, APIs can be created, tests can be written, and prototypes can move from idea to production much faster than before.

But faster development also creates a new problem.

 
That's still an architecture problem.

AI can generate a solution for a specific requirement.

It doesn't automatically understand:
* Which services should own which responsibilities
* Where the system will become a bottleneck
* When to use a queue instead of a synchronous request
* How data should flow across services
* What happens when a dependency fails
* How infrastructure costs will behave at scale

These are trade-offs, not coding tasks.

And the cost of getting them wrong usually appears later, when the system has real customers and changing the foundation becomes expensive.

I see AI increasing the value of good architecture, not reducing it.

When code becomes cheaper to produce, the ability to make the right engineering decisions becomes more valuable.

The advantage won't be having AI generate more code.

It will be knowing what should be built, where it should run, and what trade-offs are acceptable.