Jira Bridge.
Bring the task.
Keep your tools.
Get a Jira task into your editor or coding assistant. Work as you normally do, then send the outcome back to Jira.
jira-bridge fetch TEAM-123Implement, test and review as usual.
jira-bridge report TEAM-123One task.
From Jira and back.
A recorded terminal session against a real test project. Site details are redacted and pacing is edited for clarity.
- 01
Get the task
Export the title, description, status and link as Markdown or JSON.
- 02
Use your tools
Implementation and review stay in your existing workflow. The video runs this utility’s tests.
- 03
Return the result
Preview your report, then explicitly send it to the original Jira task.
A small install.
A familiar workflow.
Install from GitHub, configure your Jira Cloud site locally, then fetch your first task.
Read the setup guide ↗python -m pip install git+https://github.com/concerttttt/[email protected]jira-bridge fetch TEAM-123 --output task.md
# Work in your usual coding tools.
# Save the verified outcome in result.md.
jira-bridge report TEAM-123 --file result.md
jira-bridge report TEAM-123 --file result.md --sendThe useful part
is the connection.
Self-developed open-source tool
The problem
Jira holds the task. Your development tools hold the code. Moving context and results between them adds small, repeated steps.
The design decision
We made the bridge callable from a terminal or another Python program. The existing editor and review process remain the main workspace. There is no required web console or new agent to operate.
The implementation
Task export, preview-before-send reporting, comment-history checks to avoid identical repeat reports, and explicit handling of uncertain writes. The source and tests are available to inspect.
What we verified
Nine focused checks, installation in a clean Python 3.12 environment, and real Jira Cloud task retrieval and comment delivery. The recorded session demonstrates the same handoff.
A focused tool,
with a clear scope.
Jira Bridge does not write code, create pull requests, run your project’s tests, or verify claims in a report. Your existing coding tools handle that work.
This release supports Jira Cloud and basic task text. Attachments, comment export, rich document layout and Jira Data Center are outside its scope. Repeat-report detection covers sequential sends, not simultaneous writers.
Your Jira credentials stay in your local configuration. No ModelShifts account is required.
We can build
the next connection.
Custom integrations, reliable workflows and a practical handover.