Book Image

Learning Salesforce Lightning Application Development

By : Mohit Shrivatsava
Book Image

Learning Salesforce Lightning Application Development

By: Mohit Shrivatsava

Overview of this book

Built on the Salesforce App Cloud, the new Salesforce Lightning Experience combines three major components: Lightning Design System, Lightning App Builder, and Lightning Components, to provide an enhanced user experience. This book will enable you to quickly create modern, enterprise apps with Lightning Component Framework. You will start by building simple Lightning Components and understanding the Lightning Components architecture. The chapters cover the basics of Lightning Component Framework semantics and syntax, the security features provided by Locker Service, and use of third-party libraries inside Lightning Components. The later chapters focus on debugging, performance tuning, testing using Lightning Testing Services, and how to publish Lightning Components on Salesforce AppExchange.
Table of Contents (22 chapters)
Title Page
PacktPub.com
Foreword
Contributors
Preface
Index

Summary


In this chapter, we explored the developer workflow and the toolsets required to start building Lightning Components. It's always recommended to use an IDE to accelerate the building of Lightning Components. We covered the Salesforce extension pack for Salesforce DX for Visual Studio Code. There are lot more IDE options, such as Eclipse with the Force.com plugin (https://developer.Salesforce.com/tools/forceide2), Illuminated Cloud (http://www.illuminatedcloud.com/), the Welkin Suite (https://welkinsuite.com/), or one of the many other alternatives, and you can use the one that best suits your needs. The general developer workflow that we covered in this chapter will remain the same irrespective of your choice of IDE.

Now that we have equipped ourselves with the appropriate tools, in the next chapter, we will explore how to build a complete functional Lightning Components. We will build a component that can search for YouTube videos based on a keyword input by a user.