PyCharm, a JetBrains IDE

You can now enable Pyrefly as an external type provider in PyCharm to increase the speed of code insight features. Engineered in Rust by Meta, this next generation type checker is built for high performance analysis of large scale Python codebases. Delegating analysis to this engine delivers immediate feedback for type inference, diagnostics, and inlay hints. To switch, select Pyrefly from the ‘Type’ widget at the bottom of your window – PyCharm will handle the installation automatically. Read the blog: blog.jetbrains.com/pycharm/2026/0… #Python #PyCharm #Rust #Meta #LSP

Python monorepos can quickly turn into absolute dependency chaos. Here are five ways PyCharm makes working with uv workspaces easier: 1️⃣ Detects when you open a workspace 2️⃣ Sets up or detects the workspace virtual environment 3️⃣ Syncs dependencies directly from pyproject.toml 4️⃣ Supports navigation and refactoring across workspace members 5️⃣ Runs and debugs projects using the workspace interpreter It works with #uv, #Hatch, and #Poetry workspaces, too! 👉 Watch the full video to see the full workflow in action: youtube.com/watch?v=h_LiJj…

“Coding is only a means to an end.” Johannes Rüschel – software engineer, technical coach, open-source contributor, and longtime PyCharm power user – shared his perspectives on software engineering with us. ▶️ Watch the full conversation: 🔗 youtube.com/watch?v=HHRrKl… 🔗

AI agents are harder to evaluate than regular LLMs because they don’t just generate answers – they make decisions. Before putting an agent into production, ask these questions: • Can it complete the full task, not just one step? • Does it choose the right tools and APIs? • Does it pass the right parameters? • Is the final answer grounded in the source data? • Can you trace how it reached the result? • Are cost and latency acceptable at scale? • Do you have monitoring in place for regressions after updates? LLM evaluation helps you test whether the agent works. AI observability helps you see whether it is working once real users, edge cases, and production costs appear. Read the full blog post by Naa Ashiorkor (@ashiorkornortey) for more details: 🔗 jb.gg/llm-evaluation 🔗

The logic for Poetry and Hatch workspaces follows this exact same workflow. PyCharm detects projects via their pyproject.toml files and manages the environments with the same automated precision. The only minor difference is in tool selection – the suggested environment tool is determined by what you have specified in your pyproject.toml. If no tool is specified, PyCharm will prioritize uv (if installed) or a standard virtual environment to get you up and running quickly. This Beta version of the functionality is just the beginning of our focus on supporting complex workspace structures. We are already working on expanding the UI to allow creating new projects, linking dependencies, and activating the terminal for specific projects. Watch the deep dive by Paul Everitt to see exactly how it works: youtube.com/watch?v=h_LiJj… 👨‍🔧

While PyCharm automates the backend execution of commands – such as uv sync --all-packages – it still remains fully transparent. You can track all executed commands and their live output in the Python Process Output tool window. If synchronization fails for an environment, you can analyze the specific error logs to quickly identify the root cause.

Python monorepos can break your flow fast. Managing multiple virtual environments and drifting dependencies across interdependent projects is a constant headache. PyCharm now solves this with built-in support for uv, Poetry, and Hatch workspaces (Beta). 🧵👇

Big data ideas are making their way into everyday Python workflows. Tools like #Polars are bringing concepts you’d expect in systems like Spark into local data processing. Even developers outside data science are finding it useful. Watch the full video recap of our online Python conference for more insights and top picks: 🔗 youtube.com/watch?v=eBc1dA… 🔗

It was great seeing so many of you at #PyConUS 2026! The PyCharm team loved chatting with the Python community, answering your questions, and showing what’s new in PyCharm. Check out our booth vibe in this video 👇

Want to see a real TensorFlow project in action? Let’s add a robot 🤖 #ReachyMini In this project, the goal is simple: a TensorFlow model that doesn’t just detect objects but runs live, connects to a camera, and controls a robot in real time. If you want to understand how all the pieces fit together, watch the full walkthrough by @IuliaFeroli: 🔗 youtube.com/watch?v=F8uUIe… 🔗

Bug reports, code reviews, and discussions around issues can sometimes get surprisingly emotional. One of the best engineering lessons from our conversation with open-source contributor Johannes Rüschel wasn’t about code at all: “Assume good intentions.” Not every comment is phrased perfectly. Not every interaction goes smoothly. But behind many issue reports and discussions is usually someone trying to improve the product. This simple mindset can greatly improve collaboration and engineering culture. 👉 Watch the full conversation: 🔗 youtube.com/watch?v=HHRrKl… 🔗

#AI makes it easier than ever to contribute to open source. So why are maintainers overwhelmed? More contributions doesn’t always mean better contributions. If you’ve used AI to open a PR recently, this affects you. ▶️ Watch the full video for more Python conference takeaways: youtube.com/watch?v=eBc1dA…

Experience a dramatic leap in performance with the Pyrefly LSP integration. Built in Rust for unparalleled speed, it delivers lightning-fast type checking even for large-scale codebases. This pairs perfectly with our uv, Poetry, and Hatch workspace support (currently in Beta), which automates dependency management and environment health across complex, multi-package projects. Update now: jetbrains.com/pycharm/downlo…

Are you at #PyConUS? Stop by the PyCharm booth (booth 421) for book signings with Python authors! 📚 • Stefanie Molin, “Hands-On Data Analysis with Pandas” May 15 · 10:35 am • Eric Matthes, “Python Crash Course” May 15 · 4:10 pm • Will Vincent, “Django for Beginners” May 16 · 10:15 am Bring your copy, get it signed, and chat with the authors!