The only Python IDE you need. Built by @JetBrains, part of @JetBrainsData
JetBrains s.r.o.
Joined January 2010
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Free, fast, and private agentic coding inside PyCharm?
JetBrains Air is live in PyCharm 2026.3 EAP 4, and you can test it for free with Junie Lite – simply sign in with your JetBrains Account. No paid AI subscription required!
🤖 Powered by open-weights Qwen 3.6 27B + JetBrains code intelligence
🔒 Private by design – your code is never used for training
⚡ Perfect for routine tasks, boilerplate, and test generation in Air.
35% of Go devs also name Python as their primary language.
The reverse is far rarer, if only because there are simply more Python devs and Python use cases overall. For most engineers, Go is a language you add alongside Python, not one you leave Python for.
Whether you are building AI pipelines in Python or scaling backend services in Go – see what survey data and real-world developer interviews reveal about choosing the right tool: jb.gg/ix89jo
ALT Bar chart from JetBrains showing primary languages for Go developers in 2026. Python leads with 35%, followed by TypeScript at 27%, and Java at 22%. JavaScript is at 12%, with Rust at 10% and SQL at 6%. Others include C++ and Shell (7% each), PHP (4%), and C# / HTML / CSS / Kotlin (all 4% each). Data based on 1,836 responses from May 5 to July 28, 2026.
Thinking about adding Go to your stack?
You'll be in experienced company: 66% of Gophers have 6+ years of professional experience.
Go is rarely someone’s first language. It's what developers adopt once they already know how to ship software in languages like Python.
Switching languages doesn't have to mean diving in blind – explore our full breakdown of language design, tooling, and developer profiles on the blog: jb.gg/ix89jo
ALT Chart titled "How many years of professional coding experience do you have?" comparing Go (blue line) and Python (orange line) developers. X-axis shows experience ranges from under 1 year to more than 16 years. Y-axis shows percentages from 0% to 40%. Python developers have higher percentages in the 2-5 and under 1 year ranges, peaking at 29%. Go developers peak at 27% in the 6-10 years range. Data sourced from JetBrains Developer Ecosystem 2026 survey with 40,281 respondents.
Adopt AI at scale with Air Governance 👇
On paper, Go salaries look higher: 26% of Gophers earn above $120k, compared to 14% for Python. But learning Go won't automatically raise yours.
If we restrict the comparison to senior devs, the gap stops being significant: 20% of senior Gophers earn more than $120k, compared to 22% of senior Pythonistas. Go roles pay more simply because they tend to be senior roles.
Comparing developer experience, compensation trends, and role profiles across both ecosystems – read the full breakdown on the blog: jb.gg/ix89jo
ALT Graph comparing annual salaries of Go and Python developers in 13 brackets, from less than $20K to more than $500K. It shows Go developers (in blue) predominantly in higher salary brackets, while Python developers (in orange) are concentrated in mid-range brackets. The highest peaks are 12% for Go in the $100K-$120K range and 9% for Python in the $60K-$80K range. Data from Developer Ecosystem 2026 survey by JetBrains.
"Almost right" is not a code quality standard.
PyCharm helps you stay confident in the code you ship.
Let’s talk about it! 🎥👇
An agent writes the code now. Do you still need an IDE?
You do if you want to understand and verify what the agent did.
🎥 In our new video, we talk about the role of an IDE now that humans aren't the only ones working on the code. youtu.be/AHFGMkzrfwM
Want to understand how computer vision works under the hood – from basic image filters to custom object detection on edge devices?
In this new video, Iulia takes you through foundational vision concepts, CNNs, dataset building, and edge deployment on Jetson Nano👇
Watch the full video: youtube.com/watch?v=O3Lu9Az0…
Experience agentic coding inside PyCharm – available for free with Junie Lite!
The fastest way to get started with JetBrains Air:
1️⃣ Download PyCharm 2026.3 EAP ⬇️ jb.gg/pc-eap
2️⃣ Look for the Air icon or press ⌘2 (Ctrl+2).
12,000+ Python and Go developers told us what tools they use, how they ship code, and how much they earn.
We then interviewed seven engineers who had already moved production services from Python to Go to dive deeper into their experiences.
Does Go pay more? Can it replace Python? Find answers to these and other questions in our new article 👉 jb.gg/ix89jo
ALT Blue and green gradient background with text: "JETBRAINS IDEs | PyCharm" at the top and "Python vs Go: A Practical Comparison for Developers" prominently displayed in the center.
📷 JetBrains AI.js Day 2026: Frontend's scariest AI questions answered live on Channel 13, Nov 13.
Save your spot: lp.jetbrains.com/ai-js-day-2…
Will we still have a job in five years? On Nov 13, JetBrains AI.js Day puts frontend's scariest AI questions on air, live, online, and free.
Kent C. Dodds, Marina Wyss, Danny Thompson, and more.
Register now: lp.jetbrains.com/ai-js-day-2…
PyCharm, a JetBrains IDE retweeted
We connected IntelliJ IDEA’s code intelligence to Claude Code and Codex, then tested the setup with Netflix.
The first public results are out.
Typical efficiency gains: 20–30%.
Best code-navigation case: ~65%.
These results come from two real codebases. The efficiency metric averages token savings and time savings.
Correctness stayed stable or improved.
Here’s what we actually built.
The code engine behind IntelliJ IDEA ran headlessly, giving agents access to its capabilities through a CLI backed by a daemon.
LSP alone wasn’t sufficient.
Agents needed a convenient way to invoke the tools. The backend also needed to stay running and keep the project index warm between calls.
The idea is straightforward.
An IDE has already mapped the structure of your code and its dependencies — including what’s inside compiled libraries.
An agent can use that knowledge instead of spending time and tokens reconstructing it.
But the most interesting finding was which models benefited most.
The strongest models saw the biggest gains.
Especially at higher reasoning effort.
In these experiments, more capable models were also better at taking advantage of code intelligence.
My takeaway: better models and better tools aren’t competing bets.
You don’t have to choose between investing in model intelligence and giving agents better access to your codebase.
The two can reinforce each other.
Huge thanks to @pbakker and the Netflix team for working with us on this!
Meet Mellum2.1 – JetBrains' open-source 12B MoE model built for coding agents and local execution.
🚀 140+ T/S in local testing scenarios
🇪🇺 Ethically trained European open model
💻 Efficient worker model inside IDE agent workflows
Try it locally: huggingface.co/collections/J…
🐍 Python 3.15 is here! One feature worth trying is explicit lazy imports.
They let you defer loading a module until your code actually uses it. For applications with costly imports, that can mean a much faster startup thanks to the use of built-in Python syntax.
Lazy imports arrived in PyCharm 2026.2 and will be enhanced further in 2026.3. Try them in the 2026.3 EAP now.
Curious how they work? Cheuk walks you through the feature and benchmarks it in our blog post: blog.jetbrains.com/pycharm/2…
ALT Python 3.15 is here!
Get the best of both worlds – agent coding and hands-on developer control 🐍⚡
JetBrains Air is now in PyCharm 2026.3 EAP 4, bringing open, multi-vendor agentic workflows directly into your IDE while keeping you in the loop:
🤖 Switch agents and models mid-session or connect your own provider API keys
🔌 Connect open-source agents via the ACP registry or run local model servers
📊 Track agent sessions across projects in one unified view
🔎 Review changes in the diff editor, add inline comments, and verify code with IDE intelligence
You can test Air for free with Junie Lite – a combination of our agent and an efficient model to put Air in IDEs to the test, without using your subscription. A JetBrains account login is required.
Try Air in PyCharm 2026.3 EAP today: jetbrains.com/pycharm/nextve…
What if you could get the best of both worlds – agent coding and hands-on developer control? Explore JetBrains Air in PyCharm 2026.3 EAP for free with Junie Lite (JetBrains account login required).
Introducing JetBrains Air in PyCharm. Try it today!
Can #Rust beat Python in a robot reflex test? 🦀🤖
Watch @iuliaferoli build a PyO3 Rust extension inside PyCharm 2026.2 to speed up a LeRobot SO-101 arm's reaction loop – and see if the performance gains match expectations!
Watch the full tutorial: youtube.com/watch?v=pQMHs07t…
JetBrains Air is now available in PyCharm 2026.3 EAP 4, bringing agentic development closer to the IDE. With your choice of coding agents, support for parallel workflows, and IDE-native review and verification.
💻 Command-2 on macOS / Alt+2 on Window and Linux will open the Agent Session tool window instead of Bookmarks.
⚡ Ctrl+Ctrl on any platform will open a quick input window instead of Run Anything.
Learn more: jetbrains.com/air/ides/
