Why 'We Use AI' Isn't a Red Flag — But This Is

If you've been evaluating software agencies recently, you've probably noticed that almost every one of them mentions AI. AI-assisted development. AI-powered workflows. Built with the latest AI tools.

Some clients hear this and get nervous. Does that mean fewer developers? Lower quality? Are they just prompting their way through my project?

The honest answer is: AI is now a standard part of how software gets built. The question isn't whether an agency uses it. It's whether they understand what they're building.

What AI actually does in a development workflow

Modern AI tools help developers write code faster, catch bugs earlier, and generate boilerplate that would otherwise take hours. Used well, they're like a power tool — they make a skilled tradesperson more productive. They don't replace the skill.

The key phrase there is "used well."

A developer who understands software architecture, data modeling, and system design can use AI to build faster without sacrificing quality. They know when generated code is correct and when it's subtly wrong. They can debug what they didn't write line-by-line.

A developer who relies on AI as a substitute for understanding is a different story. They'll ship code that looks right until it doesn't. They won't know where to look when something breaks.

So what's the actual red flag?

It's not "we use AI." It's "we can't explain what we built."

When evaluating any agency, ask them to walk you through a project they've shipped. Not the design — the technical decisions. Why did they choose that database? How does the authentication work? What happens when the API goes down?

If they can't answer these questions clearly, it doesn't matter what tools they used. The problem isn't AI. The problem is that they don't understand their own work.

A few more things worth asking

If you're evaluating an agency and want to understand how they actually use AI, these questions cut through the noise:

• "Can you show me a recent project and explain a technical decision you made?" You're looking for clarity, not jargon.
• "How do you handle code review?" AI-generated code needs human review. Agencies that skip this step ship bugs.
• "What do you do when something breaks in production?" This tells you whether they understand systems or just output.
• "Have you had a client come back with issues after launch? How did you handle it?" Every real agency has this story. The question is what they learned from it.

The industry has changed. That's fine.

Software development has always evolved. Developers who once wrote everything from scratch started using frameworks. Developers who wrote raw SQL started using ORMs. Now they're using AI assistants. The craft adapts.

What doesn't change is the need for someone who actually understands what they're building — who can make good decisions, explain their reasoning, and own the outcome.

When an agency tells you they use AI, the right response isn't suspicion. It's a few good questions. The answers will tell you everything you need to know.