Systems | Development | Analytics | API | Testing

Puppeteer is a powerful Node.js browser automation library for integration testing and web scraping. However, like any complex software, it comes with plenty of potential pitfalls. In this article, I'll discuss a variety of common Puppeteer mistakes I've encountered in personal and consulting projects, as well as when monitoring the Puppeteer tag on Stack Overflow.

The internet was written in JavaScript. This versatile programming language is supported by all major web browsers and has been used to create over 1.8 billion websites, which amounts to 98% of the world’s total (that figure will probably have jumped a few thousand by the time you finish this article). Developers love JavaScript for the dynamic web pages it empowers them to build, with a whole bunch of interactive elements and user interfaces available on a drag-and-drop basis.

If you want to create a website, you might have heard of WordPress. It has been one of the most highly recommended content management systems (CMS) since its creation in 2003. Over the years, it has become one of the world’s most popular website publishing software. That is also why it has millions of fans and is responsible for powering about 42.9% of all websites worldwide.

Developing software can be a complex and sometimes chaotic process. You need to create, build, test and debug code quickly, while watching for potential problems down the road. Unfortunately, unless you’re Doctor Strange, you can’t predict the future. There’s no way of telling when clients may ask to add a feature or decide to completely scrap several features. When this happens, you obviously have to make changes to your code.

Ever since computers started to make their way into the workplace, application development has been a priority for businesses. As a company grows, there is a need for new applications to handle new business processes and make the most of new opportunities. However, the list of custom applications requested can turn into a backlog as you hit the limits of developer resources. To ease this burden, the concept of low-code application development has entered the enterprise.

As the field of software development continues to evolve, one cannot help but wonder about the future of the profession. With the integration of AI tools, like ChatGPT, and Machine Learning, tasks that were once exclusive to human developers are now being handled by machines. While this has the potential to greatly increase efficiency and productivity, it also raises important questions about the future of the developer profession. How will developers adapt to this new reality?

It began with the pandemic. Consumer spending shifted from experiences to goods, spiking demand. Ports clogged due to shutdowns. Factories operated at reduced capacities from sickness, lockdowns, or even infrastructure issues like rolling blackouts. But it didn’t end there. The ripple effects have continued. Supply chains continue facing upheavals, particularly with respect to inflated prices and global conflict like the war in Ukraine. This leaves supply chain professionals on shaky ground.

PHP is a powerful backend developer language. In fact, it is the most used server-side scripting language today. There is a lot of coding that goes behind building a successful website. And all these work on data. The I/O commands written on a disk forms the data, and the resource material you’ve already embedded becomes data. Data can be written in any format - as a string, object, or array.