What if I told you that the future of software development hinges not on human expertise but on AI efficiency?

The first time I watched AI-generated code replace a micro-SaaS service, I felt like I'd stepped into a science fiction novel. It took twenty minutes, maybe less, for a task that once demanded $120 a year.

I've long doubted the notion that LLMs could revolutionize SaaS. But witnessing this transformation firsthand forced me to reconsider. The code spun effortlessly, creating a solution that previously needed a dedicated service.

Critics argue that SaaS involves more than just code compliance, reliability, and continuous updates being critical elements. They're correct. But to ignore the economic shift LLMs usher into software development would be shortsighted.

Imagine slashing your development time by 90%. This isn't just a minor efficiency gain. It's a seismic shift in your product roadmap and engineering priorities.

This isn't the demise of SaaS. It's a new era in software creation.

The real question is not whether you can see the change coming, but whether you're prepared to adapt your engineering workflows to it. The future demands we optimize hard.

Adaptation is no longer optional. It's the keystone of survival in a rapidly evolving landscape.