Today almost every developer uses AI in one way or another. That has created an expectation among clients: if a neural network writes the code, the site should take a day and cost next to nothing. In practice part of the work really did get faster, and part stayed just as it was.
Below is where AI genuinely helps, where it does not, and how knowing that helps you set the task and read a quote.
What AI really speeds up
- Standard layout work: blocks, grids, adapting to phones
- Boilerplate code that is written the same way in every project
- Quick prototypes that show an idea before the main work
- Drafts of utility texts, translations, and descriptions
- Finding bugs from a description of the problem, and writing tests
This is the routine part of the job, and it used to take many hours. Now those hours can go into what actually shapes the result.
What stays with people
AI answers “how to build it” well and “what to build” poorly. Understanding the business task, deciding which pages are needed, what goes on the first screen, and where the button leads is still a person’s job.
- Understanding the task and asking the client the right questions
- Choosing an architecture that can be maintained later
- Connecting the site to real systems: payments, CRM, email, a bot
- Checking that the code is safe and works in awkward cases
- Taking responsibility for the result when something breaks
Facts about your business also come only from you. AI will happily write a pretty text, but it does not know your prices, timelines, and strengths. More on that in the note on website copy.
How it affects timelines and the quote
Where there is a lot of standard work, a project can get faster and cheaper. Where most of the time goes into approvals, integrations, and unusual logic, the difference is smaller. So an honest quote from a studio that uses AI is not necessarily many times lower than usual, but it should show what you are paying for.
It is a good sign when you are offered a prototype first. With AI it is quick to make, and a live page is easier to discuss than a description.
What to ask the developer
- Who reads and checks the AI-written code before it goes onto the site
- What data is sent to AI services, and whether your keys, passwords, and client data stay out of them
- Whether the code stays readable so another developer could maintain it
- How the result is tested before delivery
What exactly to check in such code before launch is covered in the note on AI-written code.
We work with AI ourselves and check every result by hand. If you want to discuss a project and see where AI will save time for you specifically, use the contact form.