5 posts tagged with "vibe-coding"

A SaaS founder recently shared a bittersweet milestone:

"We gained 13,000 active users in just two days... then I checked Firebase and saw a $2,100 bill for outgoing bandwidth."

For many founders, that's the first time they realize that building an app and operating a successful product are two different challenges.

The good news is that people love your product.

The bad news is that your MVP infrastructure may no longer be the right fit.

This isn't a failure.

It's graduation.

Imagine this scenario.

A homeowner calls a plumber because there’s a leak in the kitchen sink.

The plumber fixes the leak.

But while inspecting the pipes, he notices something else:

• weak water pressure throughout the building
• poor pipe materials
• signs of rushed construction
• recurring corrosion patterns
• evidence that the condo itself may have systemic quality issues

The real value of the plumber was not merely tightening a pipe.

The real value was understanding the bigger system behind the visible problem.

Modern AI coding tools have a very similar limitation.

AI coding agents are getting better at writing code.

But there is a hidden problem emerging in modern software development:

AI agents understand repositories, but companies operate across systems.

A frontend repo does not exist in isolation.

Neither does the backend.

Neither does the SDK.

Neither does infrastructure.

Yet most AI coding workflows today are still repository-local.

That creates a major architectural gap.

Most people think modern AI became powerful simply because computers got faster.

That’s only partially true.

The real breakthrough — the thing that changed everything — was something called Attention.

And surprisingly, the idea is very human.

Every great project starts with a simple observation — and sometimes, a bit of frustration.

This one started with a question:

Why is there no practical, beginner-friendly guide for using AI coding tools responsibly?