The Impact of AI and ML on Front-End Development

Karan Gupta

The Impact of AI and ML on Front-End Development

In today’s digital world, websites play a significant role in brand awareness and loyalty. A developer’s ultimate goal is to build a website that is both engaging and intuitive, creating a positive consumer perception of the brand.

This is achieved through several time-consuming processes, including research, user experience (UX) sketches, prototypes, and complete testing of the website before it’s pushed to production. But thanks to great advancements in technology, developers' lives have been made easier by artificial intelligence (AI) and machine learning (ML).

AI and ML and Front-End Development

Front-end web development is the process of transforming data into a graphical interface with tools like HTML, CSS, and JavaScript so the user can view and interact with the data. HTML is the foundation of front-end development, CSS gives a website its distinctive appearance, and JavaScript enables the creation of dynamic — vs. static — web pages.

Front-end development has become increasingly complex in recent years, from dynamic websites to chatbots, but while the process still requires skilled, thoughtful technicians, AI helps by automating some of the repetitive chores involved.

Sketch2Code

AI can increase developers’ productivity while lightening their workload. For example, Microsoft has released an AI-based program called Sketch2Code that transforms handwritten sketches into functional HTML prototypes. Designers draw concepts on a whiteboard, then those concepts are immediately translated into an HTML prototype.

The model is trained by first detecting HTML objects using computer vision, then handwritten texts with text recognition. The appropriate HTML snippet is created by combining various objects and sentences. Developers who spend hours creating containers on their own can benefit greatly from a solution like Sketch2Code.

Neural Networks and Deep Learning

A neural network is a type of AI in which computers analyse data in a manner inspired by the way the human brain works. Deep learning is a branch of machine learning that combines inference and training to enable computers to continuously learn from errors and improve.Through deep learning, a neural network is able to interpret and translate input and deliver the desired output.Front-end programmers have two types of data available for neural network training — a screenshot of a graphical user interface (GUI) and a drawing on a whiteboard. With training, a neural network can produce code from a GUI screenshot or a whiteboard sketch. Using neural networks that have been trained with pertinent data, front-end developers can create UI elements using comparable models.

Chatbots

The most important consideration for every front-end developer is the user experience. New computer technologies have a strong focus on the end user and are increasingly conversational and interactive. AI-powered chatbots are a good example of this trend.Chatbots have changed how users navigate and engage with web applications — they can complete their search queries in a dialogue with a chatbot rather than by following a website's step-by-step navigational process. AI-based technologies enhance and streamline this experience.

Bottom Line

There’s no denying that AI can make front-end developers' lives easier by automating tedious chores. The use of machine learning in front-end development could significantly change how programmers and designers do their jobs. To avoid a standstill stage, developers need to embrace these advanced technologies. Credera specializes in helping our clients realize the cost-saving advantages of a well-integrated digital environment and take advantage of its prospects. Schedule a call with us to discuss developing a roadmap and executing it to get you there.