How Artificial Intelligence is Influencing Web Development

Thirty years ago, in 1991, the world’s first website was launched. It was an informative website that contained resources to help people learn about how to create and use web pages. Although in look and feel, the website is not as great as the ones we have today, its intention reflects our present-day objective— to make people’s lives easier.

Today, more than ever before, web development focuses incredibly on user experience (UX). Aiding this change are revolutionary technologies like Artificial Intelligence (AI) and Machine Learning (ML). The underlying idea behind these technologies is to make machines think and work like humans so that they can cater to the needs of humans comprehensively.

This article will take a look at how the power of AI aids the web development process. We will particularly focus on three main aspects of development – coding, user experience, and testing.

Simplify Coding

Codes create the anatomy of a website. Although an interesting and important aspect of web development, coding is quite complicated and requires much time, attention, and effort. With the implementation of AI, much refinement can be brought to coding. By leveraging the benefits of AI, codes can be made fast, error-free, and optimized.

Self-learning algorithms can assist in identifying, correcting, and updating errors in codes without human intervention. AI can also automate performance improvement by finding code segments that are slowing down the services and tweaking them to improve the code quality. Moreover, several AI-powered low-code tools allow for development that requires minimal or no coding, yet delivers outstanding results. This means, even if you are not an expert in web development languages, you can create functional websites.

Improve User Experience

To render an exceptional user experience for a website, several prospects need to be considered. Some aspects that influence UX- like customer analysis, content development, and customer experience- can greatly improve with the implementation of AI.

In customer behavior analytics, AI-powered tools can contribute significantly towards gathering insights and delivering reports regarding user expectations and browsing patterns. Using cognitive analysis and statistical analysis can help you predict users’ experiences and serve them according to their interests.

The role of content in delivering a great user experience is often underlooked. Content is a powerful aspect- one that can even single-handedly create an impactful user experience. AI is revolutionizing content development with tools that can automatically generate content that is relevant, data-driven, and of top quality. With minimal input from humans, the AI content tools can create unique content in all formats- from web content, blog posts, to even meta descriptions.

The customer experience (CX) and UX intersect in areas like customer service, sales analysis, product delivery, etc. The use of AI-powered chatbots is proven to have a monumental impact in these areas. AI Chatbots provide fast, accurate, and personalized responses to user queries. They interact with users naturally, thereby eliminating the feel of communicating with machines (which is what AI is all about!)

Automate Testing

Testing is a crucial part of any development process. To ensure that a website is functioning as expected and there are no glitches, developers spend an inordinate amount of time conducting quality assurance and testing. Although AI cannot eliminate the need for human intervention in testing as of now, it can minimize the involvement.

By automating the basic testing processes that are mandatory for every development using AI-driven tools, human effort can be directed towards conducting advanced testing. AI-powered basic testing will save developers huge amounts of time, which they can utilize for more comprehensive bug-hunting.

Summing Up

Web development is constantly evolving and keeping pace with the shifts can be challenging, at times. But with AI providing extensive support for the web development process and even promising more contributions in the future, the challenges can be navigated quite smoothly.

• AutoML, a machine learning software developed by Google can create self-learning code and is found to be better at coding than the researchers that created the software!
• Web development frameworks can be integrated with AI libraries (for example, the Django-ai library for Django framework) to leverage the data from a project and integrate statistical models in it.
• AI content generators (like Jarvis) can build high-quality, SEO-optimized content in different languages and various formats.
• AI-powered testing tools (like TestCraft and Functionalize) can meet the needs of continuous integration and delivery.

Implementing AI strategies in web development is proving to deliver faster and better results. AI algorithms are getting better every day, hinting at a future that is greatly promising not just for web development but for the digital ecosystem as a whole.