In our previous blog post in this series, we discussed state-of-the-art models for object detection: the architectures, the theory, and what makes YOLO12, YOLO26, and RF-DETR tick. If you want the theoretical background on these Read more…
Welcome to the highlights from the fifth annual Django Developers Survey, a collaboration between the Django Software Foundation and PyCharm. This year’s report draws on responses from nearly 3,500 Django developers across more than 40 Read more…
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 Read more…
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 Read more…
The 2026 Django Developers Survey (results coming soon!) found that AI is part of the weekly or daily workflow for 90% of respondents. AI can write code quickly, but Django developers still need to understand Read more…
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 Read more…
Open weight models are having a moment, driven by control, choice, and cost. Hybrid and local AI are now getting serious looks, so JetBrains teamed up with DeepLearning.AI on a free AI Coding Workflows: Hybrid Read more…
This PyCharm release is a big one for anyone building with AI. Your agents can now roll up their sleeves inside your Jupyter notebooks – working against a live kernel instead of firing off disconnected Read more…
AI agents are supposed to save you time. Ask one to install a dependency or run your project, though, and it often does the opposite: It installs into the wrong Python, ignores the uv or Read more…
If you’ve handed notebook work to an AI agent, you know how it tends to go: More often than not, it corrupts your .ipynb, loses your trained model the moment the run finishes, or burns Read more…