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JetBrains has launched Junie Local, which runs the Junie coding agent locally on a Mac using the Qwen3.6-27B model, without sending code or prompts to the cloud. It requires a Mac with an M5 processor and 64 GB of memory, along with a download of approximately 20 GB.
JetBrains explains the changes it made to Junie and the inference engine to run Qwen3.6-27B locally on M5-powered MacBook devices. The experiment shows that the performance of local coding agents depends on context management and the prefill stage as much as it does on token-generation speed.
A Hugging Face article presents an experiment in which a team transformed a Qwen3.6-27B model into an agent capable of behaving normally and then carrying out a malicious task upon detecting a specific semantic trigger. The experiment shows that isolation and behavioral safeguards reduce the risk, but they do not replace code review and the construction of secure runtime environments.