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Jira integrates local LLM via LM Studio for project-specific AI checks

This article details how to integrate a local Large Language Model (LLM) with Jira projects using LM Studio. The author demonstrates setting up a local Qwen/Qwen3.6-35B-A3B model on a Mac Studio to act as a validator for specific Jira Cloud projects, while other projects continue to use the default cloud provider. The setup involves exposing the local LM Studio server via Tailscale Funnel and configuring CogniRunner, a Jira app, to route requests to the local model. The author tested the system by attempting to submit a request with a sensitive phrase, which was correctly blocked by the local LLM, and also tested a fail-open scenario by providing an incorrect API token, which resulted in the request bypassing the check. AI

IMPACT Enables localized, project-specific AI validation within Jira, offering enhanced privacy and control over sensitive data processing.

RANK_REASON The article describes a specific technical integration and setup for using a local LLM with a project management tool, which falls under tooling.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Jira integrates local LLM via LM Studio for project-specific AI checks

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17 / 100
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Newsworthiness bucket
Tool
The article describes a specific technical integration and setup for using a local LLM with a project management tool, which falls under tooling.
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Single-source cluster
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 Español(ES) · Mihai Perdum ·

    Jira Local LLM Integration: LM Studio per Project

    <p>This is a Jira LLM integration where the LLM is local. One Jira Cloud project sends its AI checks to qwen/qwen3.6-35b-a3b in LM Studio on our Mac Studio, and the other projects on the site stay on the cloud provider the site already uses.</p> <p>I ran it on 14 October 2026 wit…