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Why Senior Engineers Overlook Small AI Wins

How experienced devs might be missing the big impact of tiny AI improvements on user experience.

Nikola Balić ·

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The most experienced developers, the ones who’ve built systems from scratch and shipped products that millions use, are often the most skeptical about AI coding tools.

I call it the AI blind spot: a gap in perception between what senior engineers see as valuable and what actually transforms user experiences.

The main reason is that they aren’t using enough AI themselves.

When you don’t use AI daily, you miss the subtle ways it transforms the way we think.

Without these experiences, AI features seem like toys, nice-to-haves that junior developers might enjoy but that “real” engineers don’t need.

We’ve all agreed — no magical helpers unless they pass the Turing Test, solve NP-complete problems, and do our taxes.

But here’s what this mindset misses: when you become AI-native in your own workflow, you start seeing opportunities everywhere.

Developers who use AI in their own workflow often find ways to extend the same benefits to their end users. An internal productivity tool turns into inspiration for user-facing features.

Senior engineers who haven’t integrated AI into their daily practice can’t imagine its impact on users. They judge AI features by the traditional metrics, like performance, scalability, and maintainability. They don’t ask how the experience changes for the user.

Using AI firsthand changes how you imagine its applications. Those who keep their distance see it as incremental improvement to existing features.

In contrast, developers who regularly work with AI tools can more readily imagine applying similar intelligence throughout their applications. That gap in experience explains the two views: AI as a minor optimization, or AI as a way to rethink core user interactions.

The most successful products of the next decade won’t be the ones with the most sophisticated AI. They’ll be the ones built by developers who are AI-native themselves, who understand viscerally how small AI improvements compound into magical experiences.

Senior engineers need to become power users of AI tools not just to code faster, but to develop the intuition for where AI can transform their products.

How to break through the AI blind spot:

  • Try building something end-to-end with an agent.
  • Let it fail, then redirect.
  • Work on your own repo, with real bugs.
  • Don’t treat it like Stack Overflow. Treat it like an intern.

Once you experience AI improving your own workflow, you’ll never again underestimate its power to delight your users.

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Building go-to-market engines for AI-driven products with purpose. Worked with innovative startups like Numarics, Codeanywhere, Daytona, and Steel on growth strategies and market positioning. Faculty at University of Split, researching AI adoption patterns and developer tools.