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AI agents for Linear

Linear is where your engineering team tracks what needs to get done. AI agents built on top of it can plan sprints, triage bugs, and produce progress updates without anyone copying data into a slide deck. Here are six agent workflows worth building.

Six Linear agent teams worth building

01

Sprint planning assistant

At the start of each sprint, reviews the backlog by priority, labels, and dependencies — then proposes a sprint composition based on your team's historical velocity. Planning gets faster and the sprint is more likely to finish.

Agents in this team

Backlog Reviewer — Reads priorities, labels, and dependencies
Velocity Modeller — Applies historical completion rates
Sprint Proposer — Drafts a sprint scope for the team to review

02

Bug triage team

Classifies new bug reports by severity, checks for existing duplicate issues, and assigns them to the right team. Your bug backlog stays organised without anyone spending time on manual classification.

Agents in this team

Bug Classifier — Assigns severity based on impact and reproduction
Duplicate Checker — Searches for existing issues that match
Team Router — Assigns to the correct team or cycle

03

Roadmap progress update

Weekly, pulls completed and in-progress issues by project and milestone and generates a structured progress update for stakeholders. Engineering communicates progress without anyone writing status reports.

Agents in this team

Progress Collector — Pulls issue status by project and milestone
Update Writer — Formats progress into a stakeholder-readable summary
Delivery Router — Posts to the right channel or document

04

Velocity tracker

Reviews sprint completion rates over rolling periods, flags declining trends before they become a problem, and surfaces blockers that are causing issues to carry over. Teams can course-correct early rather than after a missed deadline.

Agents in this team

Completion Analyser — Calculates rolling sprint completion rates
Trend Detector — Identifies declining velocity before it's critical
Blocker Surfacer — Highlights issues causing repeated carryover

05

Duplicate issue detector

When a new issue is created, immediately checks the existing backlog for semantically similar tickets and flags potential duplicates to the creator. Duplicate issues stop accumulating silently.

Agents in this team

Issue Reader — Extracts the key intent from the new issue
Similarity Scanner — Searches existing issues for matches
Duplicate Flagger — Comments on the issue with any likely duplicates

06

Engineer workload monitor

Before any issue is assigned, checks the current assignee's open issue count and cycle load — and suggests a better assignment if they're overloaded. Work distributes more evenly without team leads having to track everyone's queue manually.

Agents in this team

Load Checker — Reviews open issue counts per engineer
Capacity Modeller — Determines who has room for new work
Assignment Suggester — Recommends the right assignee

Design your Linear agent team

Describe what you want to automate in plain language. Envelope structures it into a complete spec — roles, tools, and handoffs — ready to hand to your team.