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Who answers for the code AI writes in your business?

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If someone is writing software for your business right now, odds are they're doing it with help from artificial intelligence. That's fine. The question worth asking as an owner isn't whether your team uses AI. It's this: when that code goes live in your operation, who reviewed it, and who answers for it?

What developers are saying

Stack Overflow's 2026 Developer Survey, published October 6, gathered more than 30,000 responses from 169 countries. Stack Overflow is the best-known Q&A site among programmers, and its annual survey is one of the industry's main reference points.

According to the results, 66% of respondents use coding assistants or agents, AI tools that suggest or write code for them, and more than 70% use AI tools daily. This isn't an experiment anymore. It's everyday work.

The interesting part comes next. Nearly half trust AI output when they can easily verify it. Only 6.6% trust it for many tasks, including important work decisions. And 78.7% say it matters, or matters a lot, to know where an AI-generated answer or piece of code came from.

Put simply, using these tools every day isn't the same as trusting them blindly. That skepticism isn't a brake. It's exactly what protects your business.

The problem isn't AI. It's that no one owns the result

AI writes fast. It can produce in an afternoon what used to take a week. But writing fast isn't the same as getting it right. Code can pass a test and break on real data, open a security gap, or solve a different problem than the one you had. It's the same trap as AI speed without understanding the problem: you move fast toward the wrong place.

When no one reviews it, that code still ends up in your billing, your inventory, or the page where customers buy from you. And when something goes wrong, the awkward question shows up: who approved this? If the answer is "the tool," then nobody did.

So the useful conversation isn't "AI or no AI." It's who looks, who decides, and who stands behind it.

Technical debt, in plain English

There's a name for what happens when you move fast without reviewing: technical debt. It works like real debt. Every shortcut taken today (code nobody fully understood, a test that wasn't run, a decision nobody wrote down) is money you're borrowing against the future.

At first you don't notice. The system works and everything looks cheaper. Then the interest comes due: every new change costs more, bugs take longer to find, and eventually nobody wants to touch that part of the system for fear of breaking it. That cost comes out of your margin and your peace of mind.

AI speed without review doesn't remove the work. It postpones it, and charges interest.

Three questions for your team or vendor

You don't need to know how to code to ask them. You need clear, straight answers.

  • Who signs off on what goes to production? Production is the live system your customers and staff actually use. Ask who reviews each change before it gets there and who has the final say. It should be a person with a name, not a vague process.
  • How will I find out when something breaks? Things will go wrong, with or without AI. What matters is whether you hear about it from an alert and a heads-up from the team, or from an angry customer. Ask what's being monitored, who gets notified, and how quickly you'll be told.
  • How do I know where this code came from and why it was built this way? If AI wrote part of it, someone should be able to explain it, know what it does, and stand behind it. If no one can explain it, no one understands it, and that's already debt.

Vague answers aren't a reason to panic, but they are a reason to talk. A good team welcomes these questions, because they're the same ones it should be asking itself.

Frequently asked questions

Is it a problem if my team or vendor codes with AI?

No. According to Stack Overflow's 2026 Developer Survey, 66% of respondents already use coding assistants or agents. The risk isn't using AI; it's code reaching your operation without a person reviewing it and answering for it.

What is technical debt?

It's the future cost of today's shortcuts: code nobody fully understood, tests that weren't run, or decisions nobody wrote down. You don't notice it at first, but later every change costs more and problems take longer to fix.

What should I ask my vendor about AI-generated code?

Three things: who reviews and approves what goes to production, how you'll find out when something fails, and who can explain where each part of the code came from and why it was built that way.

How much do respondents trust AI-generated code?

Conditionally. Nearly half trust it when they can easily verify the result, only 6.6% trust it for many tasks, including important work decisions, and 78.7% say knowing where the code or answer came from is important or very important.

How do I know if my vendor reviews AI-written code?

Ask them to show you who approved the last change that went to production and how you'd have been alerted if it failed. If no one can answer with a name and a date, there's no real review.

At Somos Gente Digital we use AI for what it does well: speed. But behind it are people who review every change, decide what goes into your operation, and answer for it. We listen to what your business needs, build with a clear method, and stay with you after delivery, with people you know by name.

If you want to take a hard look at how your company's software is being built, reach out through our contact page.