AI in web development: where it actually speeds things up (and where it doesn't)

Over the past two years, AI went from curiosity to daily working tool in virtually every development team. We use it in every studio project. But there's a wide gap between what the hype promises and where AI actually creates value. This is an honest look from a team that ships projects every week.

Where AI genuinely accelerates

Repetitive code and integrations

Boilerplate, configuration, integrations with well-documented APIs: here AI cuts hours of work. What used to be an afternoon reading docs became minutes reviewing a nearly finished implementation.

First drafts of content and translation

Text drafts, bilingual versions, and copy variations come out much faster. Refinement stays human, but starting from 70% done changes the game for any multilingual project.

Testing and review

Generating test cases, reviewing code for obvious problems, and suggesting accessibility improvements are tasks where AI works as a tireless second pair of eyes.

Custom automations

The biggest change for our clients: automations that didn't used to pay off financially now do. Classifying contact messages, summarizing support conversations, feeding spreadsheets from emails. The cost of building these flows has dropped dramatically.

Where AI still falls short

Product and strategy decisions

AI doesn't know your business, your margins, or your audience. It executes well, but deciding what to build and why remains work for people who understand the context.

Design with identity

AI-generated interfaces trend toward the average: they all look the same. A website that needs to carry a brand, stand out, and convert demands intention in every visual decision. AI helps explore directions, not set them.

The last 20% of quality

Fine-tuned performance, real accessibility, animations that respect the page's rhythm, well-executed technical SEO. That finishing layer is where a project differentiates itself, and it's exactly where AI is most confidently wrong.

What this means for your project

Be suspicious of anyone promising an entire website "built by AI" in a day, and equally of anyone ignoring the tool completely. The ideal scenario is an experienced team using AI to eliminate mechanical work and reinvesting that time where it yields the most: strategy, design, and execution quality. That's how we work, and it's why projects end up better, not just faster.