Automatically triage GitHub issues with AI and log them in Linear

AI reads every new GitHub issue, classifies it, and creates a prioritized task in Linear with a comment back on GitHub.

How the work actually flows

It branches. Every path runs.

Pattern: Sequence (1) ยท Parallel Split (2)

flowchart TD trig>"new GitHub issue opened"]:::trig s0["Read issue details"]:::task s1["Classify type and priority"]:::task trig --> s0 s0 --> s1 gx{"+ where to send classification"}:::gate s1 --> gx p00["Create prioritized task"]:::task gx -->|"Log in Linear"| p00 p10["Post classification comment"]:::task gx -->|"Reply on GitHub"| p10 p00 --> out p10 --> out out[/"prioritized task and issue comment"/]:::out pay{{"faster consistent issue triage"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepEvery pathResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
DevOps & IT Operations
Connects
GitHubLinearOpenAI

The problem it solves

New bug reports and feature requests pile up in GitHub and someone has to read each one, decide what it is, and set a priority before anything gets done. That triage work is repetitive and easy to fall behind on.

Who it fits

A software team that tracks issues in GitHub but manages its task backlog in Linear.

How it works

  1. A new issue is opened in GitHub
  2. AI reads the title and description to classify its type and priority
  3. A matching task is created in Linear with that classification
  4. A comment summarizing the classification is posted back on the GitHub issue
What you get

Issues classified for your team to confirm

Every new GitHub issue gets automatically classified and turned into a prioritized Linear task, with a note posted back for your team.

What you get

A prioritized Linear task plus a classification comment on the original GitHub issue.

What you need

A GitHub account, a Linear account, and an OpenAI API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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