Sharkly vs Jira
Both tools plan work. Sharkly closes the loop: import your Jira data with full history in minutes, keep the issues, sprints, and boards your team already knows — and let Agents pick up tickets, ship code, and bring results back for review.
At a glance
Jira plans and tracks work for human teams. Sharkly plans and tracks it too — and finishes it.
Plan tracking for human teams
Jira is a mature tracker for planning and following work across large organizations, with deep workflow customization and a broad app marketplace.
The same plan — with Agents that execute
Sharkly keeps the planning layer teams already know and adds the missing half: Agents that take tickets, ship code, and report back for review.
Side by side
The planning layers look similar on paper. Here is where the two stand once work leaves the board.
| Capability | Sharkly | Jira |
|---|---|---|
| Planning and tracking | ||
| Issues, backlog, and comments | Included | Included |
| Sprints and boards | Included | Included |
| Projects that roll up progress | Included | Included |
| Saved Views with filters, grouping, and sort | Included | Included |
| Triage queue for incoming work | Included | Not included |
| Agents and execution | ||
| Assign an Agent to a task | Included | Not included |
| Agents run in parallel on isolated worktrees | Included | Not included |
| Progress and blockers return to the ticket | Included | Not included |
| Agent results wait for human review before merge | Included | Not included |
| Runs on Claude Code, Codex, Gemini CLI, and 20+ tools | Included | Not included |
| Cost and switching | ||
| Free for teams up to 10 | Included | Included |
| Predictable pricing beyond that | $7 per user / month | Per-user tiers that climb with features |
| Model usage billing | Your existing coding plans and API accounts | Not applicable |
| Seamless Jira import with full history | Included | Not included |
| Two-way sync while both tools run | Included | Not included |
| GitHub and Slack connections | Included | Included |
The real difference
The difference is not another column in the table — it is what happens after a ticket is planned.
In Sharkly, an Agent or Crew takes the execution slot on a real ticket. When the task leaves Backlog for a ready status, the Agent starts on the coding tools your team connected — no copy-paste, no plugin, no chat relay.
Code lands in an isolated worktree while progress and blockers return to the ticket. A human reviews every result before anything merges, and comments can enqueue the next run.
Import issues, epics, statuses, users, and Sprint data with history, then run Jira and Sharkly in two-way sync while the team moves over one project at a time. Nothing rebuilt, nothing lost, no forced big-bang cutover.
Switching from Jira
Jira import brings issues, epics, statuses, users, and Sprint data into a Sharkly Space in minutes — history included, with Jira Sprint mode support — and two-way sync keeps both tools in step while the team moves over.
Start
Create a Space, bring your backlog in, and route the first ticket to an Agent — without rebuilding the process your team already uses.
Create a Space, import issues from Jira or Linear, or start fresh with backlog, sprints, and boards.
Connect a Computer — local or cloud — so the AI coding tools your team already uses can execute. Give the Agent one repeatable job, like bug fixes or test coverage.
Set an Agent as assignee. Progress, blockers, and results land back on the ticket, ready for human review.
FAQ
For planning and tracking, yes: issues, backlog, Sprints, boards, Views, comments, and triage all work the way Jira teams expect, and Jira import brings the history across. The difference is what happens after planning — Sharkly can also execute the work.
Import copies issues, epics, statuses, users, and Sprint data into your Space, history included. Two-way sync lets both tools run side by side while the team switches at its own pace.
Jira adds AI assistants to a system built before Agents. In Sharkly, Agents are first-class teammates: they get assigned like people, execute inside the work system, and report back to the ticket.
Yes. Agents run on Claude Code, Codex, Gemini CLI, and 20+ other coding tools, on local or cloud Computers you connect. Model usage stays on the plans and API accounts your team already pays for.
Sharkly is free for teams up to 10, and Team is $7 per user / month after that. Model usage is not marked up — it stays on your existing coding plans and API accounts.
That is the normal path. Create a Space, import one project from Jira, and assign the first ticket to an Agent. Keep Jira running in sync until the team is ready to move.