Problem
Product managers spend significant time on issue hygiene: triaging new tickets, adding labels and priorities, assigning team members, and updating statuses as work progresses through GitHub pull requests. When a PR is merged, someone must manually move the Linear issue to "Done." This manual overhead scales linearly with team size and issue volume.
Solution
Use Linear Agents to automate issue triage, metadata population, and status synchronization with GitHub.
Step 1: Enable Linear Agents and configure auto-triage
Linear Settings > Agents > Enable for your workspace
When a new issue is created, the agent:
- Analyzes the issue title and description
- Sets priority based on severity keywords and affected area
- Adds relevant labels (bug, feature, improvement, chore)
- Assigns to the team member with the most context
- Adds the issue to the appropriate project/cycle
Step 2: Connect GitHub for automatic status updates
Linear Settings > Integrations > GitHub:
- Link your GitHub organization
- Enable auto-linking: PRs referencing LINEAR-123 auto-attach
- Enable status sync:
- PR opened -> Issue moves to "In Progress"
- PR review requested -> Issue moves to "In Review"
- PR merged -> Issue moves to "Done"
Step 3: Build a custom agent for context enrichment
import { LinearClient } from "@linear/sdk";
const linear = new LinearClient({ apiKey: process.env.LINEAR_API_KEY });
export async function handleNewIssue(issueId: string) {
const issue = await linear.issue(issueId);
const analysis = await analyzeWithLLM(issue.title, issue.description);
await linear.updateIssue(issueId, {
priority: analysis.suggestedPriority,
labelIds: analysis.suggestedLabels,
assigneeId: analysis.suggestedAssignee,
});
await linear.createComment({
issueId,
body: `Auto-triaged: ${analysis.reasoning}`,
});
}
Step 4: Post daily summaries to Slack
async function postDailySummary() {
const yesterday = new Date(Date.now() - 86400000).toISOString();
const completed = await linear.issues({
filter: { completedAt: { gte: yesterday }, team: { key: { eq: "ENG" } } },
});
const summary = completed.nodes
.map((i) => `- [${i.identifier}] ${i.title}`)
.join("\n");
await postToSlack("#engineering", `*Completed yesterday:*\n${summary}`);
}
Why It Works
Linear Agents apply AI to structured issue data and use tight GitHub integration to observe the full lifecycle from issue creation through PR merge. The agent uses issue content and team history to make triage decisions that would take a PM minutes per issue. Automating status transitions eliminates the most common source of stale issue data.
Context
- Linear Agents launched in beta in 2025; request access through Linear Settings
- For more complex workflows, combine Linear's API with Claude Code to go from issue to draft PR
- Linear supports auto-creating issues from Sentry error streams via webhooks
- Auto-update issue statuses from GitHub events, post daily summaries to Slack, and discuss product requirements in AI to create issues
- Alternative: use GitHub Projects with GitHub Actions for teams that prefer to stay within GitHub