Jira + GitHub Integration
Streamline development and support with Jira GitHub integration to automate issues, PRs, and notifications seamlessly.
Reduce ticket-to-deploy time by synchronizing Tickets and PRs
Automate status notifications from Commits to Ticket watchers
Maintain audit trails linking Issues, Comments, and Releases
Today
Slow handoffs and fractured context
- Manual handoffs between Product, Support, and Engineering create silos that slow delivery and break SLAs.
- Teams copy data between Jira Tickets, Issue comments, and Sprint statuses into spreadsheets or GitHub issues, causing lost context from Commits and Pull Requests.
- Missed status updates lead to delayed responses, duplicate work on Orders or Features, and poor audit trails that make incident postmortems longer and customer communication inconsistent.
- It increases mean time to resolution and burdens managers tracking Contacts, Releases, and Deployments daily.
With Koodisi
Automated Sync with Koodisi
- Koodisi automates bi-directional sync so Jira Tickets, Issue comments, Sprint statuses, and Worklog entries mirror GitHub Issues, Pull Requests, Commits, and Releases.
- Using Koodisi's no-code REST Client for both Jira and GitHub, teams route updates automatically to the right owner, keep Ticket priorities aligned with PR labels, and attach commit references to Tickets.
- Product, Support, and Dev teams gain faster triage, transparent audit trails, and fewer duplicated Orders or feature requests across systems with measurable SLA improvements.
The sync
What moves, in both directions
Jira and GitHub stay in step because the sync runs both ways.
Create Issues/PRs from high-priority Tickets, push Ticket Summary, Description, Comments, Attachments, and Sprint status as Issue fields or PR descriptions.
Update Ticket status on PR open/merge, map Commit references to Ticket Comments, post Release notes to linked Epics, and create Deployment records.
Automated sync reduces cycle time, improves data accuracy between Tickets, Issues, and Commits, enforces SLA adherence, centralizes audit trails for Compliance and Support, and enables faster, measurable releases with clear ownership and searchable history across Jira and GitHub for teams.
Use cases
What teams automate with this integration
The work that moves between Jira and GitHub today, and what Koodisi takes over.
Support ticket to pull request traceability
- When a high-priority Jira Ticket is created, Koodisi triggers a workflow that maps Ticket fields—Summary, Description, Priority, Reporter—and attaches relevant Comments and Attachments to a new GitHub Issue or Pull Request.
- The PR includes commit references and a link back to the original Ticket.
- Engineering receives an assigned PR, Product and Support see status updates in the Ticket, and managers can track resolution time.
- This removes manual copying, preserves context, and speeds customer-facing fixes.
- Team leads get automatic notifications and exportable audit logs for compliance and postmortem analysis across systems.
Automated deployment triggers from merged PRs
- When a Pull Request is merged in GitHub, Koodisi detects the merge and updates the linked Jira Ticket’s status to Done or Deployed, adds a Deployment comment with the Release tag, and creates a Release record in Jira or CMDB.
- CI/CD pipelines receive metadata from the Commit and Release notes, and Support gets an automated notification with the deployment details.
- Product and Engineering track Release dates and associated Orders or Features, enabling faster rollbacks and clearer incident resolution.
- Managers gain audit-ready reports linking Tickets, Commits, and Deployments across tools instantly.
Sync sprint status with PR progress
- As developers create or update Pull Requests, Koodisi syncs PR status and linked Commit messages back to the associated Jira Tickets and Epics, updating Sprint status, Worklogs, and Story Points adjustments.
- Ticket Comments include PR links and reviewer feedback, and Product sees live progress in the sprint board.
- This automation reduces manual sprint reporting, keeps velocity estimates accurate, and ensures backlog items, Orders, and customer-facing Tickets reflect current development progress for stakeholder updates.
- Support prioritizes escalations from synced Comments and Labels, and Engineering publishes Release notes to Epics for stakeholders.
Customer-facing bug triage workflow automation with deployments
- When Support creates a customer-facing Jira Ticket from a CRM contact, Koodisi creates a linked GitHub Issue, copies the Ticket Description, attaches relevant logs, and tags the issue with severity and Customer ID.
- Developers get a prioritized Issue with reproducible context; Commits reference the Ticket ID and automatically update Ticket Comments.
- Support sees progress and sends status updates to the Contact.
- Managers get dashboards showing incident counts, impacted Orders, and time-to-resolution metrics for better SLA compliance.
- Teams can export timelines linking Tickets, Issues, PRs, and Deployments for audits and reporting.
The workflow
What this looks like when it runs
- Koodisi watches for trigger events such as new Jira Tickets, updated Issue comments, or merged GitHub Pull Requests and then routes those events into the other system so teams always see the latest record state.
- In a visual mapping canvas you choose which Ticket fields, Comments, or Commit metadata map to Issue fields, PR labels, or Release notes.
- Koodisi’s no-code REST Client for both Jira and GitHub handles authentication and calls so engineers don’t write integration code.
- When data mismatches or errors occur, Koodisi flags the item, retries automatically, and logs the problem in an operational dashboard for fast resolution.
- Administrators can test mappings, preview payloads, and add business rules — for example only syncing high-priority Tickets or tagging Issues by customer.
- The result is consistent records, fewer manual handoffs, and clear auditability across Jira and GitHub.
- Operations teams gain visibility, SLA metrics, and exportable logs for compliance and reporting.
Ticket → Pull Request
- 1New high-priority Jira Ticket triggers the workflow
- 2Koodisi maps Ticket Summary, Description, and Attachments to a GitHub Issue or PR
- 3A PR or Issue is created in GitHub with Ticket link and assignee
- 4Ticket Comments update with PR link and team receives notification
Pull Request → Ticket status update
- 1Pull Request opened or merged triggers Koodisi
- 2Koodisi maps PR status, merge commit, and Release tag to the linked Ticket
- 3Jira Ticket status moves to In Progress or Done and Deployment record created
- 4Support and Product teams receive the deployment notice and SLA dashboard updates
Governance
Automated, but still under control
Every run is authorised, recorded, and observable — the part that decides whether automation survives an audit.
Scoped permissions
Role-based access decides who can publish or run the Jira and GitHub workflows, and who can only watch them.
Every run recorded
Each execution writes an audit trail — what triggered it, what changed, and what the downstream system returned.
Credentials in Key Vault
Jira and GitHub credentials are stored and retrieved from Key Vault, never pasted into workflow steps.
Traced end to end
OpenTelemetry logs, metrics, and traces show where a run slowed down or failed, rather than reporting one aggregate status.
Routing rules stay readable
Which records sync, and which need approval first, live in a decision table your team can review and change without editing the workflow.
Sensitive fields masked
Personal and commercial values can be masked in logs so an operational record does not become a copy of your customer database.
Ship integrations faster. Operate them without chaos.
Less time on auth, retries, and deployment scripts. More time on the integrations your customers are asking for.
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