The Distance From Vision to Reality Just Got Shorter

I had a site running on an old MVC and Knockout stack that I had wanted to bring forward to Vue using Coalesce, our open-source framework. By hand, that would have been at least two weeks of work. Honestly, I had mostly lost hope of getting to it.

Last week, I did it in about eight hours of actual work, spread over four days.

Sit with that gap for a second. Two weeks of dread versus eight real hours.

That is not just a productivity improvement. It is a different relationship between having an idea and watching it become software. The distance from vision to reality just got a lot shorter, and once you feel it, you cannot un-feel it.

How I Got Here

I had been using GitHub Copilot for the last year or so. It was good, a real game changer, and as a Microsoft Partner, we had landed a great deal on it.

Then the pricing model changed. The pooled credits got tight. And as the CEO, burning the company’s shared allotment on my own side projects did not sit right. So I picked up a Claude subscription.

To be fair, because the “Tool A destroys Tool B” genre is tired, both are strong and I would recommend either. For my work, Claude has become the one I reach for first, especially on the highest settings with Opus 4.8.

But the tool is not really the story.

What the tool unlocked is.

What the Shorter Distance Actually Does

It changes which ideas are worth starting.

When a two-week project becomes an eight-hour one, the math on “should I even bother?” flips. Things that used to die on the someday list now get built on a Tuesday.

It is not just me. Across our team at IntelliTect, we are anecdotally seeing people land somewhere in the 2 to 5x range, depending heavily on the project.

One of our engineers put it best: he could get so much done that it felt almost addictive. That is the flow state every builder chases, and the activation energy required to reach it has dropped through the floor.

And it works even on the parts you might expect to be difficult.

Coalesce is our own framework. It is not something with a million Stack Overflow answers behind it. But Claude knew how to work with it rather than fighting it.

On more involved tasks like security review, complex refactors, and documentation, it can spin up its own helper agents that come back with feedback automatically. It feels almost like having an adversarial reviewer looking over the work. A second set of eyes I did not have to ask for.

Where the Human Still Does the Heavy Lifting

Here is the part the AI hype often leaves out: this still takes real engineering.

On larger, more complex projects, the AI needs an experienced hand. It is not magic, and it is especially weak when the interface itself is not well defined.

I am building a non-linear editor right now, and the AI gets the back end mostly right while really struggling on the front end without significant guidance about what should even be there. Tell it what the interface needs to do in enough detail and it starts helping. Leave it to its own devices on something visually complex and you will spend your time unwinding its choices.

The other reality is that shaping requirements with AI is powerful, but it involves a lot of reading, refining, and massaging. You refine the details in words, carefully, before any code is worth writing.

You still need a working mental model of how the technology fits together so you know which direction to push it. The tool amplifies engineering judgment. It does not replace it.

Some days I feel more like a lawyer than a developer, but that is another post.

That is the real shape of it: the distance from vision to reality collapsed, but only for people who know what they are looking at.

The judgment about what to build and how to push it is now the scarce thing.

A Small One That Came Out Great

The flip side of that front-end struggle is that when the problem is small and well scoped, the results can be excellent with much less hand-holding.

Here is something I have been vibe coding in not too many hours: a dB Meter.

It shows decibels over time, but with a twist. The first two minutes scroll by linearly. As more data comes in, the past collapses logarithmically so the most recent two minutes stay large while older history compresses.

The UI came out genuinely well.

A few years ago, that is an afternoon I never would have spent. The idea was not worth the friction.

Now it is.

So Where Does That Leave Us?

Not with a verdict on which logo wins.

With a simpler fact: the cost of turning an idea into working software has dropped significantly.

The engineers who pair these tools with real judgment about what to build are about to be remarkably productive. And the rest of us get to be a lot more ambitious about what we even attempt.

The vision-to-reality distance just got shorter.

The only question left is what you will point it at.