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Linear AI Integration

Index completed Linear issues and docs, then surface context inside your issue queue

What is it?

About Linear

Linear is the project management and issue tracking tool used by modern engineering teams. BeforeQuery integrates with Linear in two ways: as an ingestion source that indexes completed issues, comments, and Linear project documents into a searchable knowledge base, and as a contextual knowledge panel that surfaces relevant docs and prior resolutions directly inside Linear issues so engineers never leave their workflow.

Integration capabilities

How BeforeQuery works with Linear

Everything you can do once the Linear integration is connected.

Completed issues and docs ingestion

BeforeQuery indexes completed Linear issues — including comments, resolution notes, and linked project documents. Your resolved issue history becomes a searchable knowledge base for your team.

Knowledge retrieval in issue context

BeforeQuery surfaces relevant documentation, runbooks, and prior issue resolutions alongside active Linear issues so engineers have context without leaving their workflow.

Similarity search on issues

Find similar previously resolved issues automatically, giving engineers a starting point for troubleshooting based on how your team handled comparable problems before.

Confidence-scored results

Only high-relevance knowledge suggestions are surfaced, reducing noise and keeping focus on what actually matters for each issue.

Setup

How to connect Linear

Step 01
Add a Linear source in BeforeQuery using your Linear API key. Select which teams and projects to index.
Step 02
BeforeQuery indexes completed issues, comments, and project documents on the first sync and keeps the index current as new issues are completed.
Step 03
Enable the Linear knowledge panel in the BeforeQuery dashboard. Relevant docs and similar past issues appear automatically when engineers open an issue.

Explore

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Linear — Frequently Asked Questions

Common questions about connecting BeforeQuery to Linear.

Yes. BeforeQuery ingests completed Linear issues — including titles, descriptions, comments, and resolution notes — and indexes them as structured knowledge documents. This makes your team's accumulated problem-solving history available as a source-backed knowledge base.

When an engineer opens a Linear issue, BeforeQuery performs a semantic search across your connected knowledge sources using the issue title and description as the query. Relevant documentation, runbooks, and ADRs are surfaced in a knowledge panel within the Linear issue view.

Yes. BeforeQuery can surface similar past Linear issues alongside documentation. This gives engineers immediate context on how similar problems were resolved before, reducing the time spent investigating known issues.

BeforeQuery only surfaces results above a confidence threshold. Low-relevance suggestions are filtered out so engineers see only the documentation most likely to be useful for the specific issue they are working on.

Provide your Linear API key in BeforeQuery during integration setup. The API key grants read access to issue metadata and project documents needed for ingestion and context-based knowledge retrieval. No user credentials or OAuth redirect is required for the basic integration.

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