Releases
In PyCharm 2026.2, you can build Python extensions with the new Rust plugin and debug them using debugpy, which is now the default engine. Running external utilities is now managed through a redesigned settings UI for uvx
, while multi-project setups are supported out of the box for uv, Poetry, and Hatch workspaces. This release also introduces an editor minimap, integrates the Pyrefly engine for faster type insights, adds AI project generation, and more.
Python extension development with the Rust plugin [Beta][Pro]
Work seamlessly with Python projects that leverage Rust modules to speed up performance-critical components.
debugpy as the default debugger
Following its introduction as an optional backend in 2026.1, debugpy is now enabled by default for all Python projects and Jupyter notebooks, using the Debug Adapter Protocol (DAP).
Support for uv-backed tools and uvx
PyCharm now leverages the uv toolchain to streamline how you run your external development utilities, eliminating manual package setups that clutter your local environment.
Support for uv, Poetry, and Hatch multi-projects and uv workspaces [Beta]
Previously available as an optional feature in PyCharm 2026.1.1, this functionality is enabled by default in version 2026.2. It streamlines your subproject management and provides richer dependency insights directly within your configuration files.
Editor minimap
Navigate complex source files and notebooks more efficiently with the official editor minimap. It provides a high-level visual overview of your document structure across all supported file types – while offering a dedicated layout built just for Jupyter notebooks.
Pyrefly type engine integration
Use Pyrefly as an external type engine to significantly accelerate code insight features for large-scale Python codebases.
Start new projects with AI
If you have a JetBrains AI license, you can now generate fully configured, runnable projects from scratch using natural language prompts directly from the Welcome screen.
Agent skills manager
AI agents are only as useful as the context they have. When they don’t have knowledge of your frameworks, conventions, and tooling, you end up re-explaining the same setup in every new chat window.
Agent skills fix that. Install them once in PyCharm, and your agents carry that domain knowledge across every project and session – automatically. Browse and manage skills directly from the IDE, expand the built-in library with external registries like public GitHub repositories, or let PyCharm import skills you’ve already set up for Claude Code or Codex.