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We Gave AI Agents a Live Jupyter Kernel in PyCharm
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 directly into PyCharm, it lets your AI agent work inside a live Jupyter kernel instead of handing the job to a subprocess and losing your progress. This one change means state persists across cells, the .ipynb isn’t corrupted, and long jobs wait until execution is completed instead of constantly checking and wasting precious tokens.
A live kernel made Opus
