{"id":474784,"date":"2024-05-21T12:53:05","date_gmt":"2024-05-21T11:53:05","guid":{"rendered":"https:\/\/blog.jetbrains.com\/?post_type=webstorm&p=474784"},"modified":"2024-05-27T14:58:51","modified_gmt":"2024-05-27T13:58:51","slug":"ai-assistant-for-javascript-developers","status":"publish","type":"webstorm","link":"https:\/\/blog.jetbrains.com\/de\/webstorm\/2024\/05\/ai-assistant-for-javascript-developers","title":{"rendered":"JetBrains AI Assistant for JavaScript Developers \u2013 WebStorm"},"content":{"rendered":"\n

There is no doubt that the advent of AI is changing the way many of us work. Whether you choose to accept this with optimism\u2026 or skepticism\u2026 is a topic for another day. We choose optimism, as AI has incredible potential to improve how we work.<\/p>\n\n\n\n

In this blog post, we\u2019ll look at how you can speed up your workflows and simplify JavaScript and TypeScript development with the help of AI in JetBrains IDEs. We\u2019ll use WebStorm as an example, but most of the AI features will work the same way in our other IDEs.<\/p>\n\n\n\n\n\n\n\n

What is an AI coding assistant?<\/h2>\n\n\n\n

First, let’s clarify what AI coding assistants are. Simply put, these are tools that leverage artificial intelligence to assist you with different kinds of programming tasks \u2013 from writing code to working with Git. Some examples of popular AI coding assistants include Tabnine<\/a>, GitHub Copilot<\/a>, and JetBrains AI Assistant<\/a>.<\/p>\n\n\n\n

Why use an AI coding assistant?<\/h2>\n\n\n\n

Why have so many developers been adopting AI coding assistants in their workflow lately? The answer is simple \u2013 productivity. When used effectively, AI tools help you save time and reduce the amount of routine work you have to do on a daily basis. Just make sure that the tool you\u2019re using takes data and code security seriously.<\/p>\n\n\n\n

AI for JavaScript developers \u2013 how can it help?<\/h2>\n\n\n\n

JavaScript development has its own unexpected, often meme-able behavior<\/a> that can be hard to troubleshoot. From infamous \u201ccallback hell\u201d to the complexities of asynchronous programming, you can find yourself grappling with intricate code structures that are daunting to untangle.<\/p>\n\n\n\n

AI coding assistants can help with problems like these. Let\u2019s take the \u201ccallback hell\u201d problem as an example. This issue arises primarily due to the heavy use of callbacks for asynchronous operations, leading to nested callbacks that are hard to read and maintain. Here\u2019s how JetBrains AI Assistant can help you rewrite the function and replace \u201ccallback hell\u201d with an async\/await approach in just a few clicks.<\/p>\n\n\n\n

\"Using<\/figure>\n\n\n\n

This is just one example of how easily AI eliminates problems like this in your IDE.<\/p>\n\n\n\n

Overview of JetBrains AI Assistant in WebStorm<\/h2>\n\n\n\n

Let\u2019s see what AI functionality you can benefit from in WebStorm<\/a>. JetBrains AI Assistant can help you with a range of tasks \u2013 from getting to know your project better to testing and working with version control. And, of course, writing code. <\/p>\n\n\n\n

Let\u2019s take a look at the key features available in JetBrains AI Assistant. You can start with a free 7-day trial and then switch to one of the available subscription plans<\/a>. For more information on how to get started, see this section<\/a>. <\/p>\n\n\n\n

Smart chat<\/h3>\n\n\n\n

You can call up JetBrains AI Assistant directly from the IDE. The best part about this: Not only can you ask the AI questions from the built-in chat window, but because it\u2019s integrated with the IDE, you can take its responses and code suggestions and apply them directly to your project.<\/p>\n\n\n\n

\"tab-labels\"<\/figure>\n\n\n\n

AI prompts<\/h3>\n\n\n\n

There are a bunch of prewritten prompts that are available in the right-click context menu under AI Actions<\/em>. They use AI backed by project-specific context from WebStorm to help you simplify routine tasks, such as:<\/p>\n\n\n\n