Reproduce first, prove after
Every change comes with a test that fails before it and passes after it. No proof, no merge request: Label2Prod says why on the issue instead.
Label2Prod does the engineering: it writes the fix and a test that proves it, then opens a GitLab merge request that explains the change in plain words. You decide whether it ships.
The difference
Most AI coding tools are built for developers: they live in a code editor or a terminal and expect you to read code. Label2Prod starts where the problem is described, the Jira issue, and does the engineering for you.
A person still approves every change. It just doesn’t have to be a developer: the merge request says in plain words what was wrong, what changed and how it was proven.
How it works
Set it up once in about five minutes, all in your browser: no IDE, no terminal, nothing to install. After that, the label is the only control.
Step 1
Follow the guided setup: sign in, connect your Jira Cloud site and a GitLab group, and choose which repositories each Jira project uses.
Step 2
Anyone who can edit the issue adds the autofix label. Label2Prod replies on the issue as soon as it starts.
Step 3
It reproduces the problem with a test, makes the change, and runs your whole test suite on a clean copy. Missing details? It asks on the issue first.
Step 4
The merge request explains what was wrong, what changed and how it was proven. Merge it, or comment @autofix with what to change.
SSDLC, run by AI
Good engineers follow a secure software development lifecycle. Label2Prod follows it on every issue, so you don’t have to know how.
Every change comes with a test that fails before it and passes after it. No proof, no merge request: Label2Prod says why on the issue instead.
Each attempt runs in a fresh sandbox in your own Anthropic account. It holds none of your keys and is deleted when the attempt ends.
A second, separate sandbox runs the new test and your whole test suite on a clean copy before anything reaches GitLab.
It pushes only to its own branches, never merges, and will not change your pipeline settings, secrets or key files.
Each update is a new Jira comment and each revision a new commit. Nothing is rewritten, so the trail is always complete.
When an issue does not say how to reproduce it or which repository it belongs to, Label2Prod asks on the issue and waits for the answer.
Made for Jira + GitLab
GitHub Copilot for Jira works only with repositories on GitHub. Atlassian’s Jira coding agent, Rovo Dev, needs Bitbucket Cloud or GitHub Cloud. GitLab Duo starts from GitLab issues, not Jira issues. Label2Prod is built for the teams in between: issues in Jira Cloud, code in GitLab.
| Product | Starts from a Jira issue | Opens GitLab merge requests |
|---|---|---|
| Label2Prod | Yes | Yes |
| GitHub Copilot for Jira | Yes | No |
| Rovo Dev | Yes | No |
| GitLab Duo | No | Yes |
No. You need to know what is wrong, not how to fix it. Describe the issue in Jira and add the label; Label2Prod does the engineering and explains the result in plain words. Someone on your team with merge rights in GitLab approves the change, and the proof is there for them to see without reading code.
No. There is no IDE, no terminal and no copy of the code on your computer. You set Label2Prod up in your browser, and the work happens in Jira, in GitLab and in an isolated sandbox in your Anthropic account. Why that matters.
Nothing during early access, and no credit card. Fixes run on your own Anthropic API key, so Anthropic bills that usage to you directly. How early access works.
Any issue type you turn on for a project. Bugs are on by default; tick Task or Story in settings to include them. The change must fit in one repository and be provable with a test.
No. Label2Prod pushes to its own branch, opens a merge request and stops there. A person on your team approves and merges it, under your own branch protection.
Label2Prod asks its questions in a comment on the issue. Reply with a new comment and it picks the work up again. For bugs, the bug report template covers what it needs.
Yes. Comment @autofix followed by what to change, in plain words. Each request adds a new commit, as many times as you need in the first 24 hours after the merge request opens.
Use the autofix-deep label instead. The attempt can then use more of your Anthropic credit, and it still counts as one fix.
Each attempt runs in an isolated sandbox in your own Anthropic account, which is deleted when the attempt ends. Security details.
Label2Prod is free for early-access teams, and you don’t need to be a developer. Connect Jira and GitLab, add the label, and approve the tested result.
Label2Prod · just now
Picked this up. Reproducing the problem now.