What changes when agents take tasks
Run two Claude Code, Codex or Cursor sessions against the same backlog and task selection becomes a concurrency problem. A tracker used to be a shared UI where humans read issues, chose work and did it elsewhere. Once agents take tasks directly, that tracker becomes dispatch infrastructure with the correctness requirements of a queue consumed by concurrent workers. If both agents take the same ticket, you pay for that race condition in tokens and duplicate PRs.
Where Linear and Jira work better
Linear’s planning experience is the best in the category: it is fast, keyboard-driven and opinionated, and product teams generally like working in it. Jira has approval workflows, compliance features and an ecosystem built over two decades. If your organization runs on Jira’s rituals, those workflows are part of how it operates. An agent-first queue serves a different purpose, and you should distrust a comparison that ignores those strengths.
The gap is between “task exists” and “PR merged” when software does the work. That is the part to evaluate when agents start taking tasks from your backlog.
What breaks when agents work the backlog
Human-first trackers give agents the same interface they give people: read issues and write issues. Linear’s MCP provides create, read, update and delete operations on a tool built for humans clicking through a UI. An agent can see the backlog, but the interface does not prevent two agents from taking the same issue. The dependency graph is visible, yet dispatch does not consult it.
Assignment needs a dispatcher
Assignment assumes a human chooses who gets the task. Agents need to pull work atomically, with the server refusing duplicate claims.
Crashed agents leave work assigned
A person on vacation still exists. A crashed agent stops working, but its assigned ticket can look taken indefinitely.
Dependencies need enforcement
Blocked-by relations appear as warnings for people. Dispatch can still hand a blocked task to an agent.
With one agent, these gaps are easy to miss, but with three you start paying for them. The failures and fixes are worked through step by step in the parallel agents guide and the agent swarm guide. The server that stores the tasks has to enforce dispatch correctness. Two more failures appear as you keep running agents: a restart loses progress without a durable record, while a shared bot token makes it impossible to tell whose agent performed each action.
Five checks for unattended agents
Check these five properties before leaving agents to work a tracker unattended. Each is a yes-or-no question a vendor should be able to answer in one sentence. The Dash’s Analytics uses agent identity to show work that is late, has a lapsing lease, is starving behind a blocker or has been sent back in review. You can check the fleet’s health without reading every issue.
Retasc provides all five, and the compare page compares them feature by feature with Linear, Jira, CrewAI, Devin and Temporal. You pay per action, with no seat charges for agents or people. Adding human teammates costs nothing, and members are unlimited.
How import and export work
A one-time import copies a Linear team, Jira project, ClickUp list, Asana project or Shortcut group in one pass, including issues, threaded comments, labels, attachments, blocking and duplicate relations, identifiers and original timestamps. Retasc reads Linear without writing back or maintaining a sync, so Linear stays frozen at the day you left while executable work moves to the queue. GitHub and GitLab provide a separate intake path for outside contributors through signed, deduplicated webhooks, with synced issues waiting for human sign-off before dispatch. Completing a synced issue closes it at the source, while a synced PR closes back only when canceled, leaving a done PR for a human to merge.
Re-importing reconciles records in place without duplicating them, so you can rehearse the move and refresh the snapshot on the day you switch. Export gives you a way back out whenever you need it, even though there is no live link back to Linear. You can export the whole org as a JSON bundle or its issues as a flat CSV, and a bundle restores into a fresh org so you can take your data with you. The migration page lists what comes across and what stays behind.
Retasc encrypts issue and comment content at rest, including titles, bodies and activity, under a key created for your org alone. Deleting the org destroys that key. This is not end-to-end encryption because the server holds the keys needed to run the queue, but your roadmap is not stored in plaintext beside another tenant’s data. The product page explains how it works.
Questions that come up
Is an agent-first tracker a Linear alternative for human-only teams?
You probably should not switch if only humans work your backlog. Linear’s planning experience is what you are using it for, so you should keep it. When AI coding agents start taking tasks, dispatch correctness, leases and identity become more important than planning polish. Those are the problems an agent-first tracker addresses.
Can I try an agent-first tracker before committing to the move?
You can trial an imported snapshot, but Retasc does not keep both trackers in sync or write changes back to Linear. The Dash copies a Linear team when you run the import, including issues, threaded comments, labels, attachments, blocking and duplicate relations, identifiers and original timestamps. Re-importing reconciles existing records without duplicating them, so you can refresh that snapshot up to the day you switch. If the trial does not work for you, export the whole org as a JSON bundle or the issues as a flat CSV.
Does an agent-first tracker replace Jira workflows?
An agent-first queue does not replace Jira’s approval flows, compliance features or ecosystem. Its job is to dispatch executable work to agents with correctness enforced by the server. Many teams keep their human planning tool and use the agent queue for the implementation backlog.
What makes a tracker agent-first?
An agent-first tracker needs five properties: atomic claims, expiring leases, enforced dependencies, durable checkpoints and identity on every action. Atomic claims prevent two agents from holding the same task, while expiring leases release work for another agent when an agent dies. Dispatch enforces the dependency graph, and a different runtime can resume unfinished work from a saved checkpoint. Each action identifies both the human principal and the runtime.
Setup takes one command, followed by browser approval through GitHub or Google. Signup includes $10 of usage with no card required. The feature-by-feature comparison is on the compare page.