AI Made Software Cheaper and Faster. Choosing the Right Vendor Got Harder.

Most people who call me about vendor selection are not starting fresh. They are on their second try. The first vendor was cheap, moved fast, showed great demos, and then disappeared into a pile of bugs nobody could fix. Now they are gun-shy, out some money, and asking a better question than they asked the first time: how do I tell, before I sign anything, whether this person can actually build the thing and keep it running?

That is the right question. It is also harder to answer now than it was two years ago, because AI has made it easy for almost anyone to produce software that looks finished. A polished demo used to be a signal. Today it is table stakes, and sometimes it is a trap.

Here is what I look for when I am the one evaluating a build, and what you should ask before you hand over your budget.

The new reality: cheaper and faster, with a new bottleneck

I have written before about how AI is making software development cheaper and reshaping how the work gets done. Both of those things are real. I measured the gains on my own projects, and they are not marketing fiction.

But cheaper and faster does not mean solved. It means the bottleneck moved. When writing code stops being the slow, expensive part, the slow expensive part becomes everything around the code: deciding what to build, understanding the problem well enough to describe it, and making the hundred small judgment calls that turn a vague idea into a product people actually use.

AI does not solve that part. It can write a function from a clear instruction. It cannot tell you whether the function should exist. It cannot sit in a room with your operations manager and work out why the current process is painful. Someone still has to do that, and that someone needs to understand both your business and how software gets built.

You also still need good developers in the loop. I made this point in detail in Vibe Coding Your MVP. The tools let a non-technical founder ship something that works in a demo. They do not let that founder catch the architectural mistake that makes the thing fall over once real customers arrive. The speed is real. The need for judgment did not go away. It got more important, because now the mistakes arrive faster too.

The old problem AI just made louder

Here is something that was true long before AI, and is worth saying plainly: you can pay good money, get the software fully built, and still end up with something useless. Not because the code was bad. Because the product was wrong.

This usually comes down to product design, or the lack of it. Someone built exactly what was asked for, and what was asked for did not match what the business actually needed. The feature works. Nobody uses it. The workflow is technically correct and practically miserable.

Good product design lives in the relationship between you and your vendor. You know your business. You arrive with ideas, sometimes very specific ones. A vendor who has done this many times can look at those ideas and say "that will work," or "I have seen this go wrong, here is a better way." That back and forth is where a useful product gets shaped. It is shared work, and neither side has the whole picture alone.

AI changes the tempo of this in a way few people are talking about. When building is slow, you have time to discover design problems gradually, between releases. When building is fast, you can implement the wrong idea this week and a different wrong idea next week, and burn through your budget churning on a design nobody stopped to think through. Faster cycles amplify the cost of skipping design. A short loop without a steering wheel just gets you lost sooner.

So the first thing to look for is a vendor with real product design experience. Not people who can take an order, but people who will push back, ask why, and iterate with you on the design before and during the build. If a vendor never challenges your assumptions, that is not deference. That is a warning sign.

A real guide to choosing the vendor

Every software vendor you talk to right now will tell you the same three things. They are faster because of AI. They are cheaper because of AI. And they can have a working version in front of you in days. The frustrating part for a business owner is that all of this is often true, which means it tells you almost nothing about who to actually hire.

Since the demo and the pitch no longer separate the good from the risky, look at the process instead. A vendor worth hiring has a pipeline, and you can ask them to show it to you. Specifically, three things:

A product spec. Before anyone writes code, can they produce a clear document describing what is being built and why? If the answer is "we will just start building," that is the vibe coding trap dressed up in a suit.

An architectural spec. Is there a deliberate decision about how the system is structured, or does the architecture just happen by accident as features pile on? You do not need to understand the technical details. You need to know that someone made the decisions on purpose. I wrote about why this matters for owners in Software Architecture for SMB Owners.

The codebase, handed to you. Ask directly: at the end, do I own the code, and will you give it to me in a form I can hand to another developer? A vendor who hesitates here is planning to hold you hostage. A vendor who says yes without flinching is confident the work will hold up to someone else's eyes.

None of this is glamorous. It is exactly what survives the demo and determines whether you have a working product in a year or a pile of regret.

Why I think we are a good candidate for this

I will be direct, because the whole point of this article is to help you choose well, and I would like you to consider us.

devInstance was built for this moment. I have spent close to thirty years building software, and a lot of the recent work has been cleaning up projects that were fast and cheap and wrong. That experience is the reason we lead with product and design conversations instead of jumping straight to code. We would rather spend the first week making sure we are building the right thing than spend three months quickly building the wrong one.

We use AI heavily, the same tools everyone is excited about, and we get the speed and cost benefits they promise. The difference is what surrounds that speed: a real product spec, deliberate architecture, and code we hand to you at the end with no drama. We have built our own engineering toolkits over the years, like LogScope.NET and BlazorToolkit, precisely because we care about software that is maintainable, not just software that demos well.

And if you are on your second try, if you are the person from the first paragraph who already got burned, that is squarely the work we do. We modernize aging systems and we build custom software the right way, with the process to back it up.

If any of this sounds like the conversation you need to have, tell us about your project. The first conversation is about whether you are building the right thing. That is the part AI cannot do for you, and it is the part we care about most.