We Stopped AI Agents From Installing Into the Wrong Python: Task Success Rates Jumped to 95%+ - The JetBrains Blog

PyCharm’s Agent Environment Coordinator skill is designed to help AI coding agents use the correct Python interpreter and project environment instead of defaulting to and potentially polluting system Python installations. In tests involving 28 environment-related Python tasks across six AI models, average task success reportedly rose from 68% without the skill to 98% with it, with individual models improving to between 95% and 100% success. The skill allows agents to query PyCharm for the appropriate interpreter and environment-management tool, such as uv, Poetry, virtualenv, or conda, or to configure an interpreter when none exists, while leaving command construction to the agent. The evaluation penalized system-environment pollution and was run three times per model using Harbor, suggesting that improved scores reflected both more successful task completion and cleaner environment handling. Available through a JetBrains AI subscription in PyCharm 2026.2.1, the feature is part of the IDE’s bundled, manageable AI skills.

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