We’ve all been there: you join a new project, and the first thing you ask for is the architecture diagram. You’re handed a diagram that looks great, but after a week of debugging, you realize it’s six months out of date. Service A hasn’t talked to Service B since the spring, and there’s a new […]
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 models, start there. This post is the practical follow-up: how to actually use these models, how to fine-tune them on […]
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 countries — from students in their first year to veterans with decades of experience. In software, “boring” is a compliment. […]
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 exposure of customer data associated with its use. We have contacted affected […]
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 IntelliJ IDEA, GoLand, PyCharm and WebStorm. Rider users needn’t worry […]
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 the application, evaluate what the agent produces, and be accountable for what ships. That makes your IDE more important, not […]
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. SQLAlchemy 2.0 support SQLAlchemy has been […]
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 to Local course that covers the ideas and options. The course is now available and uses PyCharm and its AI […]
今回の PyCharm のリリースは、AI を活用して開発を行っている方にとって大きなアップデートです。エージェントが Jupyter notebook 内で作業に着手できるようになりました。断片的なスクリプトを次々と勝手に実行するのではなく、ライブカーネル上で作業を行います。また、どの Python を使用すべきかを把握できるようになり、パッケージが毎回適切な環境にインストールされるようになりました。 IDE に marimo ノートブックも導入し、PyCharm の高速性と集中力を維持するためにバンドルプラグインに変更を加えました。 このリリースのハイライト AI エージェント用 Jupyter notebook スキル PyCharm のノートブックモデルとライブカーネルを介して Claude Code や Codex などの AI エージェントに .ipynb ノートブックを作成、…
Für alle, die mit KI entwickeln, ist dieses PyCharm-Release ein großer Schritt nach vorn. In Ihren Jupyter-Notebooks arbeiten Agents nun direkt mit dem aktiven Kernel, statt isolierte Skripte auszuführen. Agents wählen nun zuverlässig das passende Python aus und installieren Pakete dadurch immer in der richtigen Umgebung. Außerdem heißen wir marimo-Notebooks in der IDE willkommen und […]
Cette version de PyCharm est une mise à jour majeure pour tous ceux qui développent avec l’IA. Vos agents peuvent désormais travailler directement dans vos notebooks Jupyter, en s’appuyant sur un noyau actif plutôt que d’exécuter des scripts indépendants. Et ils savent enfin quel Python utiliser, pour que les paquets atterrissent dans le bon environnement […]
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 scripts. And they finally know which Python to use, so packages land in the right environment every time. We’re also […]
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 virtual environment your project uses, and hands back a broken setup for you to fix yourself. PyCharm’s new Agent Environment […]
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 budget sitting idle through a long job while you watch. To solve this, we’re introducing a brand-new Jupyter skill. Built […]
As part of ongoing maintenance, we are unbundling and deprecating low-usage plugins starting with PyCharm 2026.2. This includes support for Data Wrangler, Hugging Face, and Google Colab, among others. A more focused set of bundled plugins means a leaner codebase, enabling us to keep PyCharm fast and responsive and invest our effort where it has […]
This is a guest post from Naa Ashiorkor, a data scientist and tech community builder. Building intelligent systems that can see, hear, understand language, and make decisions was previously the domain of specialized researchers with massive computing resources only – today, deep learning has made this accessible to developers and data scientists across the world, […]
PyCharm 2026.2 では、新しい Rust プラグインで Python 拡張機能をビルドし、それをデフォルトのエンジンになった debugpy を使用してデバッグできます。外部ユーティリティの実行が uvx 向けに再設計された設定 UI を介して管理され、 複数プロジェクトの構成が uv、Poetry、Hatch のワークスペースで標準でサポートされるようになりました。今回のリリースではエディターのミニマップも導入され、より高速な型インサイトの提供を実現する Pyrefly エンジンが統合され、AI によるプロジェクト生成などの機能も追加されています。 Rust プラグインを使用した Python 拡張機能の開発 [ベータ][Pro] Rust モジュールを活用する Python プロジェクトとシームレスに連携することで、パフォーマンスが重要なコンポーネントを高速化できます。 デ…
在 PyCharm 2026.2 中，您可以借助新增的 Rust 插件构建 Python 扩展程序，并使用现已作为默认引擎的 debugpy 对其进行调试。外部实用工具的运行现在通过重新设计的 uvx 设置 UI 进行管理，同时，对于 uv、Poetry 和 Hatch 工作区，直接支持多项目设置。此版本还引入了编辑器迷你图，集成了 Pyrefly 引擎以实现更快的类型洞察，添加了 AI 项目生成等。 利用 Rust 插件进行 Python 扩展程序开发 [测试版][Pro] 与借助 Rust 模块加速性能关键组件的 Python 项目无缝衔接。 debugpy 作为默认调试器 继 debugpy 在 2026.1 中以可选后端形式引入后，现已使用 Debug Adapter Protocol (DAP) 为 Python 项目和 Jupyter Notebook 默认启用 debugpy…
En PyCharm 2026.2, puede crear extensiones de Python con el nuevo complemento de Rust y depurarlas mediante debugpy, que ahora es el motor predeterminado. La ejecución de utilidades externas se gestiona ahora mediante una interfaz de configuración rediseñada para uvx, mientras que las configuraciones con varios proyectos son compatibles sin configuraciones adicionales con los espacios […]
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 […]
Object detection powers transformative applications, from autonomous vehicles navigating city streets and security systems identifying threats in real time to retail analytics tracking inventory and medical imaging detecting tumors. But choosing the right model for your computer vision project can be challenging, especially with dozens of architectures claiming superiority across different metrics…
A while ago at PyCon US 2026, I had the pleasure of listening to the Python Steering Council give updates about new features that are being added in Python 3.15. One that stood out was explicit lazy imports (via PEP 810), which defer module loading until first use. I am curious to see how this […]
Every developer has tools they rely on daily. The workflows they’ve built around them, the ways they’ve learned to move faster, debug smarter, and write better code – that kind of hands-on experience can be hard to put into words. We’re collaborating with LinkedIn to make it easier for you to showcase your expertise with […]
Whether you’re building chatbots, training computer vision models, or analyzing business data, choosing the right AI framework can make or break your project. Python has become the dominant language for AI and machine learning development, and the ecosystem of frameworks supporting this work has matured significantly. The right framework choice depends on what you’re building. […]
In 2026, the world of AI is changing at a serious pace. The days of AI systems dealing solely in single-prompt interactions are coming to an end. Instead, these models are evolving into agentic systems – long-running, goal-driven software enabled by agentic frameworks that are becoming a critical layer in modern application architecture. This rapid […]
This is a guest post from Iulia Feroli, founder of the Back To Engineering YouTube community. In this tutorial, we build a live object detection app using TensorFlow and PyCharm, then deploy it onto the Reachy Mini open-source robot for real-time object tracking. Reachy Mini is a compact open-source robot built in collaboration by Pollen […]
Making software accessible often comes down to removing small but repeated points of friction in everyday workflows. Today, on Global Accessibility Awareness Day, we’re sharing recent improvements in JetBrains IDEs across several areas: compatibility with assistive technologies on various platforms, keyboard navigation, and non-visual feedback. Some of these improvements are already available, and…
This is a guest post from Naa Ashiorkor, a data scientist and tech community builder. Artificial intelligence keeps evolving at a rapid pace. The latest major application of AI, specifically of LLMs, is AI agents. These are systems that use their perception of their environment, processes, and input to take action to achieve specific goals, […]
In PyCharm 2026.1.2, you can enable Pyrefly as an external type provider, dramatically increasing the speed of the IDE’s code insight features. What is the Pyrefly LSP? “LSP” stands for the Language Server Protocol – a standardized protocol that allows code editors and IDEs to communicate with language servers. The LSP enables language servers to […]
Workspaces are increasingly the go-to choice for companies and open-source teams aiming to manage shared code, enforce consistency, and simplify dependency management across multiple services. Working within massive codebases often means juggling many interdependent Python projects simultaneously. To streamline this experience, PyCharm 2026.1.1 introduced built-in support for uv workspaces, as wel…