A couple of years back, hiring a full-stack team meant bracing yourself for long timelines, even on work that wasn’t all that complicated. That’s not really the case anymore. A lot of the typing now gets done by AI, the boilerplate especially, and the first rough draft of a component shows up in seconds instead of over an afternoon. Last I looked at the Stack Overflow numbers, around 84% of developers were using AI tools or planning to, up from 76% the year before. So asking whether your team uses AI? Kind of beside the point now. Almost all of them do. The thing actually worth asking is what they do with the time they get back, and whether anyone’s keeping an eye on the parts AI tends to fumble. So here’s what I’d pay attention to this year.
Speed is the baseline now, not a selling point
Quick delivery used to be something agencies bragged about. Now it’s just expected. There was a DX report near the end of 2025, big sample too, north of 135,000 developers, that pegged the savings at roughly 3.6 hours a week per developer. For a client, that should mean the routine stuff, the CRUD screens and basic API wiring and the integrations you’ve built a hundred times, comes in quicker and cheaper than it would have a few years ago.
I’d be careful about letting raw speed impress you, though. Anyone can stand up a login page before lunch and still hand you something that falls apart in week one. What matters more is where those saved hours actually go. Picture a customer dashboard with payments and user roles baked in. The wiring goes fast these days. But the parts that bite you later, what a refund does to your records, or what happens when a card gets declined halfway through a transaction, those still need a person sitting there thinking it through. The good ones pour those freed-up hours back in right there. Others just bank the time and move on.
Writing code is cheap now. Judgment isn’t.
Here’s the part nobody loves admitting: developers don’t really trust the code AI hands them. Sonar’s State of Code work had developers guessing that something like 42% of the code they push now is AI-assisted. And the trust number for that code? Sitting at 29% in the 2025 Stack Overflow data. That’s 11 points down from the year before. So you’ve got developers shipping code they’re a bit suspicious of, then burning time going back over it to be sure it holds.
Which is exactly why a full-stack development company is worth paying for now, and it has nothing to do with the typing. Generating a React component is trivial. Knowing whether your data model survives 100,000 users, or catching why some auto-generated query is going to grind your database to a crawl the first time traffic jumps, that’s the rare bit. That’s what DianApps actually gets hired for, the reviewing and the architecture, not banging out keystrokes a machine can handle. When you’re sizing up an agency, just ask them flat out how AI-written code gets checked before it lands in your build. If they go vague on you, that tells you plenty.
Ask how the team actually uses AI
This is a totally fair thing to bring up now, and any decent shop will answer without getting weird about it. Around half of working developers reach for AI tools every single day, going by Stack Overflow, so if a team swears they never touch the things, they’re either out of the loop or fudging. You want a straight answer back. Which tools, where in the process they turn up, and who’s the one signing off before anything ships.
A couple of things should make you nervous. One is a team that’s cagey about its tooling, like there’s something shameful about using AI at all. The other is a team that’s handed the whole job over to it and quietly dropped the human review. You want somebody between those two. A good answer might sound like: the AI drafts a first pass, then a senior dev goes over it line by line before it merges. Boring, sure, but that’s the answer you’re hoping for. Honestly, ask who checks the AI’s work and what they do when it’s wrong, and you’ll know within about ten seconds which kind of team you’re dealing with.
Security and testing climbed the priority list
More machine-written code means more spots for problems to hide in. A security firm called Apiiro saw AI-related security findings jump tenfold between December 2024 and the middle of last year, looking across thousands of developers and their repos. So the faster output came with more exposure, not less. That’s the bit that rarely makes it onto the sales call.
It also means “done” has to mean more than it used to. Test coverage and an actual security review can’t be things you find out about on the invoice. While you’re scoping out full-stack development services, get it in writing: how are they testing AI-generated code, and what’s the plan for all those open-source packages AI happily pulls in without being asked? Those packages carry their own bugs and their own license terms, and they stack up faster than you’d expect. A demo that runs clean is not the same thing as software you’d feel okay putting in front of paying customers.
See also: Five Emerging Technology Trends That Are Transforming Modern Investments
What to look for when you hire
Start with their actual work, not the pitch deck. Ask to see how a recent project was put together and where a human stepped in to make the call. A team that knows what it’s doing will walk you through all of it, including the messy bits they had to tear out and redo. Push a little harder while you’re at it. Ask what blew up on their last project and how they caught it before it hit the client. People who’ve actually been through it will have a real story for you. The ones reading off a script tend to go fuzzy fast.
Hiring within the US? Location still counts, for a few pretty practical reasons. Time zones that line up with yours, for one. Contracts that hold up. The data rules you’re on the hook for. Any team offering website development services in US markets ought to be comfortable talking compliance and code ownership, not just delivery dates. And the pricing should reflect how things actually work now. If a machine is doing the grunt work, paying 2019 rates for boilerplate you could half-generate yourself makes no sense. What you’re really paying for is judgment, the thing that keeps the product standing once real traffic and weird edge cases turn up. A machine still can’t pull that off for you.
The short version
AI hasn’t put full-stack teams out of work. If anything it’s widened the gap between a good one and a mediocre one. Speed is table stakes at this point. Where teams actually separate themselves is in the review, the architecture, the security work, and whether they’ll be straight with you about how the sausage gets made. Find a partner that treats AI like a sharp tool with someone’s hand still on it, which is roughly how DianApps goes about it, and you’ll walk away with software that survives contact with real users. Go with whoever’s selling pure speed, and you’ll cover the cleanup bill later anyway. Ask the harder questions up front, and the difference shows itself pretty quick.
