The JetBrains Blog

Today, we’ll use WebGoat as our test application to demonstrate Qodana’s taint analysis functionality.

Kotlin Notebook is a new interactive environment for JVM developers. This article will cover the main Notebook features and how you can utilize them to improve your productivity.  How to use Kotlin Notebook Kotlin Notebook is bundled with IntelliJ IDEA starting from the 2025.1 release, an…

In this blog post, we will look at how to debug Java code using the IntelliJ IDEA debugger. We will look at how to fix a failing test, how to find out where an `Exception` is thrown, and how to find problems with our data. And we will learn some neat tricks about the debugger in the process!  …

It's been awhile since we last updated you on our code quality in GitHub offering. Take a look at this how-to guide from Qodana.

Imagine you’re building a cutting-edge Java library, optimizing every method, and writing the most efficient algorithms. At some point, you’ll need to document your code because well-documented code increases adoption (a fact backed by various surveys). Including documentation comments within a Java…

In this tutorial, you’ll learn how to create a microservice using Spring Boot, set up a CI/CD pipeline with JetBrains TeamCity, and automate deployment using Docker.

In this tutorial, you'll learn how to configure TeamCity to deploy a React app from a GitHub repository to an Amazon S3 bucket.

Learn about Django templates with our guide. Explore what they are, why they're useful, and how to use them. Discover the different types of Django templates.

Understanding Django views helps you make faster progress in your project. Learn all about views and best practices for using them.

Learn how to detect anomalies in time series data using different detection models. Explore our step-by-step guide with code examples for various applications.

If you saw our blog post about using Qodana in Unity and .NET projects, you know that we’ve been striving to explore Qodana’s potential for game development. What’s our next stop on this mission? Seeing our code quality platform in action with Unreal Engine, one of the most popular engines for diffe…

Learn how to detect anomalies in machine learning using Python. Explore key techniques with code examples and visualizations in PyCharm for data science tasks.