Top Frontend Trends Organizations: In the article we will share our view on 5 technologies in the field of frontend for 2022. We are actively looking at some technologies, some are starting to apply, others have been used and recommended to you for a long time.
1. JavaScript. Hold
JavaScript remains the most popular programming language in the world, judging by the result of the Stack Overflow survey and research from GitHub. This is an advantage due to which you can quickly complete your team with the necessary competence or find a ready-made module on the right stack in Open Source. JavaScript is easier to start programming, although to become a Senior Developer, you need to make as much effort as in any programming language. If you use a Babel transpilation, you can experiment with the latest EcmaScript specifications.
Unfortunately, JavaScript is a programming language with dynamic typing and has related shortcomings. The main one is the lack of contracts. Code without contracts is more difficult to develop and more difficult to refactor. Due to dynamic typing, JavaScript sometimes requires redundant constructions – for example, when you need to check whether the object came to you, whether you got the type. As a result, we get the risk of missing a mistake.
We recommend that you abandon JavaScript and switch to a typed programming language available for frontend tasks. We chose TypeScript, which is next.
2. TypeScript. Adopt
Recently, we conducted an internal survey of frontend developers, which was completed by 159 front-end developers. In the survey there was a section about TypeScript, the answers to which gave us confidence that TypeScript became the standard for frontend development.
TypeScript, as a language with static typing, increases the reliability and extensibility of code. We get self-documented code, interfaces, secure refactoring, short feedback cycle (leave about the error in the IDE, not in the browser).
If you have a small project that will not develop in the future, “did and forgot”, then using TypeScript can bring overhead. In the long term, when you hire front end developer and the project will be developed by several generations of developers, use it and do not hesitate.
3. Vue.js. Hold
Vue.js is a powerful and modern framework. If you are at the stage of choosing a framework, you should definitely consider all the solutions from the big three frameworks (Angular, React, Vue.js) and choose the best one for your requirements.
In our case, the company has developed competence in Angular and React. Each framework appeared to solve certain problems. Now these two frameworks cover 100% of our requirements for the development of web interfaces. Vue.js will not bring tangible changes, we will need additional costs for training, for adapting tools. If you weigh all the pros and cons of the introduction of a new framework, there is more against it.
4. Disappearing Frameworks. Assess
The category “Disappearing Frameworks” includes frameworks that perform their useful work at the compilation stage, generating pure JavaScript without heavy abstractions like Virtual DOM. Such frameworks are as light as possible, and their performance on weak hardware is noticeably higher.
Candidates in this category: Stencil, Svelte, Solid and Angular Elements.
All of these solutions position themselves as compatible or compileable in Web Components. This is a great opportunity to create web applications based on a universal web platform. This group of frameworks needs to be monitored and experimented with.
Such frameworks can potentially be used in solving the problem of reusing UI components between different large frameworks, which will allow, say, to have one common code base of the UI Kit.
5. Machine learning in Frontend. Trial
ML can be used in web interface development tasks. Thanks to the Tensorflow library, which is one of the most popular libraries for ML and has a version for Node.js and browser, we get the possibility of machine learning on a well-known stack. Here JavaScript confirms its universality.
These capabilities allow you to solve problems in ways that have not been thought of before, but this requires theoretical knowledge of ML. An example of tasks where ML is applicable is to increase the speed of the interface.
One of our teams experimented and made a service that predicts the probability of visiting the next page. Then integrated this service into the preloading strategy of one of the projects – now in some cases the user will see it instantly when going to the next page, without waiting for the download. We have developed our solution based on Tensorflow.js. Specifically for this task, there is an open-source solution from Google -Guess.js, which, based on data from Google Analytics, does similar. We advise you to try it.
More on https://fireart.studio/cms-development-company-2/.
Another example of using ML in frontend tasks is code analysis to identify duplicates, analysis of layout for compliance with guidelines and even the ability to correct it, recognize documents in the browser without transmitting them over the network, generate an individually customized interface to users, increase accessibility – say, voice control.
