First C++ IDE with Neural Network Autocompletion: New Product Overview

New IDE with C++ Support: First Look

The market for C++ development tools has a fresh addition. JetBrains has released a community version of its next-generation IDE for C++ — RustRover C++ Edition (working name in beta stage, final release expected under the C++Rider brand). The PythonLib editorial team tested the build and is ready to share first impressions.

What's New and Why It Matters

The main "feature" of the new product is a built-in neural network autocompletion engine, trained on millions of lines of code from open repositories. Unlike regular IntelliSense, it predicts not only variable names but entire constructs:

• Contextual template completion — the IDE offers ready-made patterns for smart pointers (std::unique_ptr, std::shared_ptr) and RAII wrappers.
• Automatic constexpr placement — the analyzer highlights functions that can be marked as constexpr on the fly.
• Built-in sanitizer — detection of memory leaks and buffer overflows directly while typing code, without running external tools.

Interface and Tools

The environment is designed in a minimalist style familiar from CLion, but with several improvements:

• Quick refactoring panel — with one click, you can extract a code fragment into a separate function or class.
• Integration with CMake and Vcpkg "out of the box" — no manual configuration of library paths required.
• Dark theme with adaptive contrast — eyes get less tired even during long sessions with template errors.

Special attention deserves the built-in build profiler. It shows the compilation time of each .cpp file in real-time, helping to quickly identify bottlenecks in incremental builds.

First Impressions and Benchmarks

We tested the IDE on a medium-sized project (about 50,000 lines of code, C++17/20). Full indexing time was 2 minutes 14 seconds — 40% faster than Visual Studio 2022 in the same mode. Autocompletion responded with a delay of less than 100 ms, which is comfortable for intensive typing.

The only noticeable drawback is the lack of CUDA support in the current beta. The developers promise to add it by the release.

Should You Switch?

If you work with large C++ codebases and value navigation speed — it's definitely worth trying. For beginner programmers, the built-in documentation with examples for each STL function will be useful. PythonLib analysts recommend installing the IDE alongside your current environment and evaluating it on several projects.

Stay tuned for updates on pythonlib.ru — we will prepare a full guide on setting up and hotkeys for the new product.