The Vibecoding Paradox
Everyone can build an app now. AI tools generate working prototypes in minutes. No-code platforms let non-engineers ship products. The barrier to creating software has never been lower.
So why are enterprise engineering teams still in demand?
Because building software and running software at scale are fundamentally different problems.
What AI Can't Replace (Yet)
Architecture That Scales
A vibecoded MVP handles 100 users. But what happens at 100,000? At 1,000,000? The architectural decisions that make a system scalable — database sharding, caching strategies, message queues, microservice boundaries — require deep understanding of trade-offs that come from years of production experience.
At instarea, our Market Locator platform has been processing telco geoloc
