I use IntelliJ IDEA to write Java code. I really appreciate its ability to auto-complete functions and easily search the code, which makes my coding experience smoother. Creating files and integrating with the JetBrain AI assistant is a breeze. I find IntelliJ IDEA easy to use with a lot of useful plugins. I love how the JetBrain AI assistant reads my whole code and provides accurate responses to my queries. The initial setup was pretty easy—just install and it works like magic. Review collected by and hosted on G2.com.

In JetBrain AI assistant, there is a weird bug where it says there is an issue connecting with the agent, and I have to quit the app and log back in. Review collected by and hosted on G2.com.

I love the fact that they offer free subscriptions for students, it helps me a lot. I also like the infrastructure of the sofware, I can even modify the themes.

When developing Minecraft plugins, IntelliJ IDEA is the best option for you to use, it helps you set everything up with a few clicks. Review collected by and hosted on G2.com.

I had an issue with the app that after not using it for a couple of months, I don't know what changed that I had to reinstall it because I wouldn't be able to run my project on the app. Review collected by and hosted on G2.com.

I use IntelliJ IDEA for TypeScript, Node.js, and NestJS development and find it incredibly useful for building modular backend APIs, REST services, and full-stack applications. It smartly combines code completion, Git, Docker, and database tools in one place, which solves context-switching overhead for me. I really appreciate its ability to catch TypeScript errors early and make refactoring across large codebases fast and reliable. The intelligent code completion and deep TypeScript support are standout features for me, saving a lot of time, especially on complex projects. It reduces the time I spend looking up syntax or API references and auto-suggests the correct imports and method signatures instantly. Additionally, the TypeScript support helps catch type errors before runtime, which is critical for production-grade AI pipelines. I find the initial setup straightforward as well, with plugin installations taking only a few minutes. Review collected by and hosted on G2.com.

The biggest drawback is high memory consumption. Running IntelliJ alongside Docker containers, a local PostgreSQL instance, and a Node.js dev server can push RAM usage significantly, causing occasional slowdowns. The initial project indexing also takes too long on large monorepos. A lighter memory footprint would make it a near-perfect tool. Review collected by and hosted on G2.com.

IntelliJ IDEA offers an exceptional developer experience with powerful code intelligence, smart auto-completion, and deep understanding of Java and modern frameworks. The built-in tools (debugger, profiler, database tools, and version control integration) make it an all-in-one environment, reducing the need for external tools. I also appreciate the seamless integration with frameworks like Spring and the consistent quality across JetBrains products. Review collected by and hosted on G2.com.

Honestly, I haven’t faced any major issues so far. The overall experience is very smooth and reliable. If anything, it can be slightly heavy on system resources at times, but that’s expected given the rich features it provides. Review collected by and hosted on G2.com.

IntelliJ IDEA makes coding faster and easier with some quite impressive features, like auto-completing the code when it understands the intention of the code I am typing, reducing the time in coding. It clearly highlights the errors in the code while typing or any other syntax errors. Debugging and running programs is simple and easy, and everything is available in one place. Review collected by and hosted on G2.com.

IntelliJ IDEA needs to work on the system resource allocation, as it uses a lot of system memory and feels slow on low end laptops. While working on big projects, it takes lot of time to load the code, and the laptop heats up significantly. Some features must be purchased to use and for beginners it is not so easy to use. Review collected by and hosted on G2.com.

It is the best IDE for Java. Auto completion of the syntax is the best feature. It provides JDK so do not need to install it externally, and has an integrated version control which helps in Git and Git Hub. Review collected by and hosted on G2.com.

It consumes a lot of memory, on low end systems such as mine, it struggles often. When shifting from VS code, it might seem confusing at first for the first time users. Review collected by and hosted on G2.com.

The current update of IntelliJ IDEA allows me to work more productively by enabling many automatic operations. For example, I can switch between branches easily, and right now an LLM is also integrated into it. Review collected by and hosted on G2.com.

There’s nothing I hate about it. However, for some Java projects, I’ve found it feels heavier compared to VS Code. Review collected by and hosted on G2.com.

I use IntelliJ IDEA as my primary IDE for end-to-end data engineering because it handles the complexity involving Python, Scala, and SQL. I like how it eliminates context switching fatigue by allowing me to write Python scripts, tune SQL queries, and manage Spark jobs all in one IDE. The debugging tools help me rectify type mismatches or null pointer risks before deploying code. I appreciate the visual three-way merge tool that simplifies resolving Git conflicts. I find its refactoring features, like global search and replace and safe delete, very useful. I love the integrated big data tools with first-class support for Spark, Kafka, and BigQuery directly in the IDE, which allows me to inspect Parquet files, monitor Spark jobs, and query my data lake without leaving the window. One of my favorite features is the 'search everywhere' shortcut with Double Shift, and I rely on Local History as my ultimate safety net. IntelliJ IDEA enhances my productivity by helping with schema validation, allowing me to verify column names and data types against my live database while writing code, and tracking Spark job progress and logs within the same window where I wrote the code. When I installed it, the out-of-the-box experience was seamless, especially for Java, and it automatically detected my data engineering stack. Review collected by and hosted on G2.com.

1. It's a heavy IDE, and on large projects during initial indexing, it can rarely hog RAM and make it very slow to open. 2. Learning curve: because it does everything, the menus can be overwhelming. Review collected by and hosted on G2.com.

I like IntelliJ IDEA's good exceptions marking system and its smart suggestions, which help me deliver tests faster and with better consistency. The auto-complete feature is a boost to my productivity. I find it reliable and rarely need to restart it. It's nice to work in it without having to think about other tools. The UI is pretty, and I enjoy using it. The initial setup was pretty easy too, and I don't remember having any headaches with it. Review collected by and hosted on G2.com.

It could not spam with the 'tip of the day'. But also, I just noticed it's in the menu now, not popping up every time anymore. Review collected by and hosted on G2.com.

Its powerful intelligence and developer productivity features.

Excellent code completion, refactoring, and static code analysis that catch issues early.

Deep understanding of Java, Spring Boot, and frameworks, making navigation and debugging very efficient.

Built-in tools for Git, testing, profiling, and database access reduce the need for external plugins.

Smart suggestions and inspections help write clean, maintainable code faster. Review collected by and hosted on G2.com.

It can be resource-heavy, consuming significant memory and CPU on large projects.

Some advanced features are locked behind the paid (Ultimate) edition, which can be costly. Review collected by and hosted on G2.com.