PyCharm

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'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…

Compare the top object detection models for 2026. YOLOv12, YOLO26, RF-DETR benchmarks, use cases, and selection guidance.

Python 3.15 introduces explicit lazy imports via PEP 810, deferring module loading until first use. See how this new feature works and benchmark it yourself with PyCharm.

Connect your IDE to your LinkedIn profile and showcase your JetBrains IDE expertise based on real tool usage.

Compare the top Python AI frameworks for 2026. Learn when to use each, their strengths and limitations, and how to choose the right one for your project.

Let's compare the leading agentic AI frameworks in 2026 and explore what each framework does best – click here to find the right framework for your project.

Learn how to build a real-time object detection app using TensorFlow and PyCharm, then deploy it onto the Reachy Mini robot for live object tracking.