Feature

Write JIRA tickets
in 30 seconds.

Describe what you need. Orbis reads your live board and drafts a complete ticket: title, acceptance criteria, edge cases, assignee. Pushes straight to your backlog.

Without Orbis

"csv export thing... TBD"

No acceptance criteria No assignee No edge cases

"Which fields? Which users? Need context before I can start." — engineering, in the comments. Again.

Orbis drafts it in 30 seconds

With Orbis

Add CSV export to reporting dashboard (Admin only)

Export button visible only to Admin role
CSV includes all visible table columns and active filters
Download triggers within 2s for datasets under 10k rows
Edge case: exports over 10k rows queue as a background job
Maya Chen · 5 ptsPush to JIRA

How it works

01

Connect your JIRA board

Paste your JIRA base URL and API key. Orbis reads your live board: current epics, team members, and the tech stack you define. Setup takes under 5 minutes.

02

Describe what you need in plain English

Type a prompt like "add CSV export to the reporting dashboard, only for Admin users." No ticket format required. Write it the way you'd explain it to a teammate.

03

Review the full draft in seconds

Orbis generates a complete ticket: title, description, acceptance criteria, edge cases specific to your stack, open questions, story point estimate, and a velocity-aware assignee recommendation.

04

Push to JIRA with one click

Review, edit if needed, then push directly to your backlog. The ticket is in JIRA in the same status as your other backlog items. No copy-paste, no reformatting.

What every draft includes

Every AI draft contains the same fields engineering expects. Nothing missing, nothing for you to fill in manually.

Ticket title

Action-oriented, scoped to the feature described

Description

Context, motivation, and scope written in plain English

Acceptance criteria

Numbered list of testable conditions for Done

Edge cases

Specific to your tech stack and existing epics, not generic

Open questions

Unresolved decisions flagged before engineering starts

Story point estimate

Based on scope and your team's historical velocity

Recommended assignee

Matched by skill set, velocity history, and current workload

Epic link

Auto-matched to the most relevant epic on your board

Why context changes everything

ChatGPT can write a ticket. Any LLM can. The difference is that every Orbis draft knows your board before it writes a single word.

When you describe a CSV export feature, Orbis knows you're already building it on a Next.js frontend with a Supabase backend, that your "Admin" role is defined in your auth epic, and that Maya has shipped the last three data export tasks. The edge cases it flags are real ones, not guesses from a template.

The result: tickets that engineers can start from, not tickets they need to rewrite before touching.

Common questions

How does Orbis know my tech stack?

When you connect a JIRA board, you define the tech stack in a short setup form: frontend framework, backend, database, any key services. Orbis stores this per board and uses it in every draft. You can update it any time.

Can I edit the draft before pushing to JIRA?

Yes. Every draft is fully editable before it goes to JIRA. You can change the title, rewrite acceptance criteria, swap the assignee, or adjust the story points. Orbis is a starting point, not a final decision.

What happens if Orbis recommends the wrong assignee?

You can override it before pushing. The recommendation is based on skill match and velocity data from your board history. You have full control before anything lands in JIRA.

Does Orbis work with JIRA Server?

Yes. Orbis connects via JIRA API key and works with JIRA Cloud and JIRA Server. No Atlassian plan upgrade required.

Write your first ticket in 30 seconds.

20 drafts free. No card required.

Get started free