Web development

AI tools in web development: what they do well and what you have to check by hand

Where code generation saves time, where it fails imperceptibly, and analysis of a defect that we found in our own project during technical measurement.

August 1, 2026
2 min read

Code assistants are in the editor every day, and the question has long ceased to be whether to use them or not. The question is different: which pieces of work can be given to them calmly, and which must be looked over with the eyes after them. Below is a breakdown by types of tasks and an example of a defect that we found in our own project during a technical measurement.

Immediately about what will not be here. We don't give our own numbers like "it became faster by so many percents": in order to present them honestly, we need to keep track of the time for each task before and after, and we didn't keep it. We will not put other people's interest here as our result either.


Where generation really saves time

Boilerplate and routine

The assistant shows itself best where the code is predictable and there is a lot of it: typical forms, DTOs, mappers, configurations, wrappers around APIs, tests of the same type. You describe the intention with a comment — you get a blank that remains to be read.

// Function to validate Ukrainian phone number
function validateUkrainianPhone(phone: string): boolean {
  const regex = /^\+380[0-9]{9}$/
  return regex.test(phone.replace(/\s/g, ''))
}

The price of error is low here. If the rule is incorrect, it can be seen on the very first test.

Strange syntax

The second strong scenario is when you know exactly what you want to do, but you don't remember exactly how it is written in a particular tool. nginx rule, expression in Prisma, Playwright specific selector. The assistant saves not thinking, but flipping through documentation.

Explanation of someone else's code

When a ten-year-old project comes into support, the repository chat provides a quick map of the terrain. It gets the details wrong, but it gets the search direction right — and it's much faster than reading everything one after the other.

Generation of interfaces from the prompt

Tools like v0 deliver a ready-made React component with Tailwind and shadcn/ui. For an internal admin or a layout draft, this is a normal start. For a public page that has to sell, the generated block remains a draft: semantics, accessibility and mobile behavior are refined by hand.


Tags

AITypeScriptPerformance

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Vladyslav Chystiakov

Пише про те, що робить руками: інтернет-магазини на OpenCart, застосунки на Next.js, інтеграції та швидкість сайтів. У статтях — заміри й перевірки, які читач може повторити на своєму проєкті, а не загальні поради. Комерційна розробка з 2015 року.

Frequently asked questions

Answers to common questions on the topic

So far they change not the composition of the work but its distribution: more time goes into stating the task and checking the result, less into typing boilerplate. The place where a person is needed most has stayed the same — deciding what to build, and being answerable for it working in production.

At the edges: where knowledge of your specific project is required — which fields actually exist in the database, what an existing function is called, what must not be broken. A generated fragment looks convincing and compiles, but fails quietly. The dangerous cases are not obvious crashes but plausible details that survive a glance.

Just like any other code — after review and tests. The only difference is that it needs closer reading: it has no author who remembers why it was written that way. We do not treat it as a reason to shorten review, and the 30-day warranty applies regardless of how the code was written.

Mostly nothing in what they receive: the contract, the term in working days, handover by acceptance act and the rights to the result all stay the same. A rough version appears sooner, so the direction can be corrected earlier. But promising that the work therefore becomes half as long or half as expensive would be an overstatement: most of the term is not spent typing code.

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