Should You Use AI for Frontend Development? We Share Our Experience

By now, we have all seen how fast AI is moving. But front-end development doesn't get stuck either.

 

AI front-end development is already here. It’s evolving so quickly that developers not only need to keep up with it, but must.

 

AI tools for front-end development help:

 

• Automate routine tasks
• Spark ideas
• Simplify the research process
• Create simple code for trivial tasks
• Makes documentation easier
• And many more. 

 

Our frontend development uses AI to work smarter and move faster. 

 

But here’s the thing: AI does not replace our developers, it supports them. 

 

In this blog post, we'll share how we use AI for creating front-end, namely AI for React and AI for Vue.js.

 

We show what results we see and reveal honest insights from our developers.

How AI is Changing Frontend Development

 

Previously, front-end development involved manual coding, repetitive tasks, hours spent reviewing documentation, and endless testing cycles.

 

"When I don’t have to worry about repetitive setup tasks or searching for the right syntax, I can stay in the creative zone longer. That’s where the real value is."

Yevhen Dziubenko
Head of VueJS Department at Onix

 

Now, using AI for front-end development allows developers to:

 

• Shorten development cycles
• Automate trivial and repetitive coding tasks
• Improve accuracy and consistency in code
• Assist in research, documentation, and testing
• Enable asynchronous workflows.

 

But we still have to remember that AI for front-end is not magic. It's your assistant that automates your routine workflow, allowing you to focus on what matters most.

How Onix Uses AI in Front-End Development

AI helps our React and Vue.js teams move faster and think clearly. 

 

Here is what our AI-assisted front-end development looks like:

Code explanations & debugging

Sometimes, we encounter legacy code or bugs. Instead of spending hours debugging, we use AI tools to quickly understand what’s going wrong and fix it in a much less painful way. 

 

No long search on forums. No digging through documents. 

 

Writing and refining tests

Creating tests from scratch can be daunting and repetitive. Our specialists use artificial intelligence to make the initial structure of unit tests and customize them according to our actual use case.

 

Using AI tools for frontend developers allows us to save time, cover more, and move faster.

 

Code refactoring and reuse

Using AI for code refactoring is helpful when cleaning up or repeating a piece of logic within a project. 

 

"We don’t want to over-rely on AI. But ignoring it completely? That’s just leaving speed and creativity on the table."

Yevhen Dziubenko
Head of VueJS Department at Onix

 

For example, we need to update a pattern in dozens of files or optimize repetitive code. AI tools help us do it consistently, easily, and safely. Our developers can give a simple prompt like “replace all instances of X with Y,” and the tool will make the change intelligently.

 

No repetitive manual edits. No risk of human error.

 

Of course, we still check everything, but the hard work is done for us.

 

Read also about the frontend development process at Onix and how we do it. 

 

Bootstrapping new projects

AI tools help us build pages, components, and logic much faster. 

We use AI-powered tools to create everything in minutes, instead of manually:

 

• setting up file structures
• routing
• layout components
• basic UI blocks.

 

We often get 10x speed in setting up the basics compared to doing everything manually.

 

Instead of spending all day creating boilerplate code and folder structures, we describe the type of app we’re building (e.g., dashboard with charts and user profiles), and the AI tool generates a working layout with reusable components and some initial logic.

 

Results? We gain a serious productivity boost right from the start.

 

Researching APIs and libraries

When our developers are learning new libraries or exploring different tools to find the best one, AI tools can provide quick overviews or comparisons. We get focused answers faster than Googling for half an hour.

 

Docs, commits, and internal notes

AI assists us in handling tasks such as writing clean commit messages, creating README drafts, and writing internal documentation. 

 

Using AI, we keep our projects well-documented without wasting our mental energy.

 

Background automation

Frontend development involves enough repetitive tasks. AI productivity tools for developers can significantly optimize this routine. 

 

The technology helps the Onix experts:

 

• answer questions using internal knowledge bases
• make minor code suggestions while we work.

What We Still Prefer to Do Ourselves

Artificial intelligence is a powerful tool, but if you trust it too much when coding, things can go wrong quickly.

 

Therefore, our position on the use of AI is as follows:

We integrate artificial intelligence where it makes sense, but we will never sacrifice quality, security, or stability just for speed. We don’t treat AI as a one-size-fits-all solution. Every project is different, and how we use AI depends on the codebase, task complexity, team workflows, and project goals.

 

“AI helps with the ‘what,’ but we bring the ‘why. It can guess what code goes where, but it doesn’t understand your user, product, or vision. That’s still our job."

Volodymyr Perepelytsia
Head of React Department at Onix

 

There are still areas of front-end development where we rely heavily on the expertise and experience of our developers:

 

Choosing the right architecture for a project 

A deep understanding of business goals, scalability, and long-term support is essential for making the right decision.

 

• How components interact
• How data flows
• Which technology stack to use

 

These are not things we hand over to artificial intelligence.

 

UX/UI design thinking

Just feel the difference: AI can suggest layouts or generate a button, but it doesn’t understand how it fits into a user’s journey. That’s why our frontend developers and designers are still needed. 

 

Checking the output generated by AI

AI undoubtedly speeds up some part of frontend development. But nobody can guarantee that its output is 100% correct. 

 

Our engineers carefully review, refine, and test every piece of AI-generated code to ensure it meets the same high standards as handwritten code. 

 

Maintenance and edge case handling

Code created by AI often looks great at first. Still, when real users start interacting with the solution in unexpected ways or when edge cases arise, AI-generated code can lead to unstable behavior and hidden bugs.

 

That's why the Onix team always thoroughly tests, refactors, and improves code before it goes into production.

 

AI Tools We Use in Our Workflow

Let's look at the go-to tools across our Vue.js and React teams and how they actually help.

 

AI in React development

 

• GitHub Copilot / Cursor Tab. These tools help us with smart autocompletion, repetitive edits, and quick refactors. They also allow us to reduce the time spent on templates, copy-paste logic, and repetitive structures.
• Cursor / Junnie / Claude Code / Copilot Agents. Our developers use these tools for tasks like generating logic across multiple files, rewriting complex functions, or refactoring data structures. They're especially useful when working with markdown prompts or instructions directly in the codebase.
• ChatGPT. This is our assistant for researching third-party libraries or during problem-solving. Instead of searching for documents manually, we simply ask.
• Codex / Cursor Background Agents. We use these AI tools for small, routine tasks. They help us create minor solutions quietly in the background, without distracting the developer from the bigger picture.
• OpenAI API. Our team uses it to automate internal tasks like responding to knowledge base queries, suggesting responses in conversations, or handling routine text-based tasks.
• V0 / Bolt.new. It takes a lot of time to kickstart a new project. We leverage these AI-powered tools to bootstrap new applications (basic app structures and components). Sometimes we set up a project 10 times faster than manually.

 

AI in Vue.js development

 

• Cursor IDE. This tool allows us to speed development by 15–20%, especially when creating simple code or performing repetitive tasks. This is great for knocking out trivial logic without losing focus on the bigger picture.
• ChatGPT / Claude. These are our tools for complex questions, documentation drafts, and quick explanations. When researching a new library or technology concept, these tools help significantly reduce research time.
• Raycast, Warp, and Dia Brower. All of these tools are designed for everyday efficiency. Raycast replaces Spotlight with powerful AI features, Warp gives us an intelligent terminal, and Dia helps us find relevant content faster when browsing.

  

To Summarize

AI undoubtedly changes the frontend development workflow, offering great benefits such as speeding things up and automating repetitive tasks.  

 

But let’s be real. AI is not a panacea. It still can't make critical architectural decisions or think through great user experiences. This is where our team shines.

 

Yes, we use AI. But we don’t use AI everywhere, and we don’t rely on it mindlessly.

 

We stick to balance. We use AI where it truly improves results, but we never let speed compromise quality, security, or long-term stability.

 

Want to see how AI-powered frontend development can transform your product launch, without sacrificing quality? Talk to us.

 

FAQs

 

Will using AI impact the quality of my app?

Yes, in a good way. AI helps us deliver clean, consistent code faster, but we don’t rely on it unthinkingly. Our team reviews, tests, and validates everything AI generates to ensure accuracy and long-term maintainability.

 

What does AI integration in React look like in real projects?

It means faster component creation, smarter error fixes, and less time spent on repetitive patterns. With tools like Copilot and Vite + AI plugins, we streamline the setup and enhance coding workflows.

 

Is AI used throughout the entire frontend project?

We primarily use AI in the planning, scaffolding, and coding stages. Our team directly handles tasks requiring strategic thinking, creativity, or nuanced problem-solving, like UI/UX design or debugging.

 

Do you use AI in React.js projects?

Yes! We actively use AI in React.js development, from scaffolding components and generating boilerplate code to refactoring and fixing bugs faster using AI assistance.

 

Do you use Vue.js AI-based tools?

Yes. We successfully use tools like GitHub Copilot, Cursor, and CodeWhisperer to streamline our Vue development.

 

These tools help us generate components, refactor code, and suggest improvements across the codebase. They’re convenient for repetitive tasks or prototyping, but we always combine them with hands-on expertise to ensure clean, maintainable code.

 

Can AI help reduce the cost of frontend development?

In many cases, yes. By speeding up repetitive tasks and minimizing manual work, AI can reduce development hours and time to market, especially during a project's early stages.