PyCharm

Learn how to use these models, how to fine-tune them on diverse, specialized datasets that look nothing like their training data, and how to evaluate the results – all within PyCharm.

We are investigating a security incident affecting JetBrains Cadence. Cadence is a JetBrains-hosted service that integrates with PyCharm through an optional plugin, and lets you run your projects on cloud compute resources. Our investigation has confirmed unauthorized access to the service and the e…

OpenTelemetry Comes to IntelliJ IDEA, GoLand, PyCharm, and WebStorm. The OpenTelemetry plugin has broken out of the confines of JetBrains Rider. No sandbox exploit was involved – this escape was planned by our developers. With the 2026.2 release, the OpenTelemetry plugin is now available in Intel…

AI can write code quickly, but Django developers still need to understand the application, evaluate what the agent produces, and be accountable for what ships. That makes your IDE more important, not less.

Across the PyCharm 2026.2 release line, we shipped 263 fixes and improvements. Many improve Python code insight directly, with more precise type inference, fewer false positives, smarter completion and imports, and more reliable refactoring. Here are some of the smaller changes you’re likely to notice in everyday Python development.

Build a faster, cheaper, local-first agentic dev setup. A new Andrew Ng & Paul Everitt DeepLearning.AI course covers PyCharm and open-weight models.

PyCharm 2026.2.1: AI agents now work in your Jupyter notebooks and target the right Python environment, marimo notebooks arrive, plus changes to bundled plugins.

PyCharm's new Agent Environment Coordinator gives AI agents your project's real Python interpreter – lifting task success from 68% to 98% on average.

PyCharm's new Jupyter skill lets AI agents work in a live kernel, so notebooks don't corrupt, state persists, and long jobs wait until execution is completed instead of constantly checking and wasting precious tokens.

We're unbundling and deprecating several low-usage plugins in PyCharm 2026.2. Here's what's changing, why, and what it means for you.

This article provides a guide for developers with basic Python knowledge looking to explore deep learning using PyTorch.

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 H…