Jira Cloud + GitHub
Connect Jira Cloud and GitHub to Stop Losing Work Between Tools
Keep your issue tracking and code in sync, automatically, without anyone lifting a finger.
Why integrate Jira Cloud and GitHub?
Jira Cloud and GitHub are the two tools most dev teams live in — and they almost never talk to each other by default. That gap means developers are manually updating tickets they already fixed, managers are guessing at progress, and nobody quite trusts the board. Connecting Jira Cloud with GitHub through tray.ai links commits, pull requests, and branches directly to Jira issues, so everything stays accurate without anyone stopping to do admin work. You get full traceability from backlog to deployment, and every stakeholder can see what's actually happening.
Automate & integrate Jira Cloud & GitHub
Use case
Automatic Jira Issue Transitions on Pull Request Events
When a developer opens, reviews, or merges a pull request in GitHub, the linked Jira Cloud issue moves to the right workflow status automatically. Tickets no longer sit in 'In Progress' days after the code shipped. Teams get accurate boards without relying on developers to remember the update.
Use case
Create GitHub Branches Automatically from New Jira Issues
When a new Jira issue is created or moves to 'In Progress,' tray.ai creates a matching branch in the right GitHub repository, named using the Jira issue key and summary. Branch naming stays consistent across the team, and developers can start coding immediately. No more inconsistent branch names or ticket references missing from version history.
Use case
Sync GitHub Pull Request Comments to Jira Issue Activity
Code review discussions hold real decisions, but that context is invisible to anyone not watching the GitHub PR. With tray.ai, PR comments and review summaries get synced as comments on the linked Jira issue, keeping the full story of a feature in one place. Product managers and QA teams can follow the review without needing a GitHub account.
Use case
Automatically Create Jira Bugs from GitHub Issues
When a new issue tagged as a bug appears in a GitHub repository, tray.ai creates a matching bug ticket in the right Jira Cloud project with fields like severity, description, and reporter already mapped over. This is especially useful for open-source projects or teams where GitHub Issues handles community-reported bugs that need to enter the engineering backlog. Nothing slips through.
Use case
Generate Release Notes from Merged Pull Requests Linked to Jira Epics
At the end of a sprint or milestone, tray.ai pulls all merged GitHub pull requests, cross-references them with their linked Jira issues and epics, and builds structured release notes automatically. It replaces a tedious end-of-sprint scramble that usually produces incomplete documentation anyway. Release managers and product teams get an accurate summary of what shipped and why.
Use case
Escalate Stale Pull Requests by Updating Jira Issue Priority
When a pull request has been sitting without activity past a configurable threshold, tray.ai updates the priority or adds a flag to the linked Jira issue and notifies the assignee or team lead. Review bottlenecks stop blocking sprint completion silently. Engineering managers get early warnings without building custom tooling to find them.
Use case
Mirror GitHub Repository Commit Activity on Jira Issue Timelines
Every commit that references a Jira issue key gets automatically recorded on that issue's activity timeline, including author, timestamp, and message — all visible without leaving Jira. This is especially useful for QA engineers verifying fixes or product managers tracking incremental delivery. The visibility gap between code activity and ticket management closes.
Get started with Jira Cloud & GitHub integration today
Jira Cloud & GitHub Challenges
What challenges are there when working with Jira Cloud & GitHub and how will using Tray.ai help?
Challenge
Reliably Extracting Jira Issue Keys from GitHub Data
The connection between a GitHub pull request or commit and a Jira issue usually lives in free-text fields like the PR title, branch name, or commit message. Extracting those keys reliably means handling regex matching and the inevitable edge cases where developers didn't follow the convention.
How Tray.ai Can Help:
tray.ai's data transformation operators support regex extraction and conditional logic, so you can define flexible patterns that match your team's naming conventions and handle missing or malformed keys without the whole workflow failing.
Challenge
Mapping GitHub and Jira Status Workflows That Differ by Team
Every engineering team configures Jira workflows differently, and GitHub pull request states are fixed. A single universal status mapping between the two systems doesn't work, and hardcoded mappings break every time someone tweaks a Jira project config.
How Tray.ai Can Help:
tray.ai lets you define configurable mapping tables inside your workflows, so status transitions can be updated without rewriting logic. Teams can manage their own mappings through tray.ai's interface without pulling in an engineer to do it.
Challenge
Handling High-Volume GitHub Webhook Events Without Data Loss
Active GitHub repositories can fire dozens of webhook events per minute — commits, PR updates, review comments — and a naive integration will drop events, create duplicate Jira tickets, or miss transitions when bursts hit.
How Tray.ai Can Help:
tray.ai's workflow engine handles webhook ingestion with built-in queuing and deduplication. Each trigger processes reliably at scale, and you can add idempotency checks using Jira issue key lookups before creating or updating any records.
Challenge
Bidirectional Sync Without Infinite Update Loops
When both Jira Cloud and GitHub react to each other's changes, feedback loops are easy to create — a Jira update triggers a GitHub action, which triggers another Jira update, and so on. Those loops burn API quota and can corrupt data quickly.
How Tray.ai Can Help:
tray.ai workflows support conditional branching and source-of-truth checks so you can detect whether a change came from an automation or a human. Adding guard conditions and checking for known bot authors or automation flags breaks the loop reliably.
Challenge
Managing GitHub and Jira API Authentication Across Multiple Projects and Repos
Large engineering organizations often have dozens of Jira projects and GitHub repositories, each potentially needing different credentials, permission scopes, or webhook configurations. Managing that manually doesn't scale.
How Tray.ai Can Help:
tray.ai's centralized authentication management lets you store and reuse GitHub and Jira Cloud credentials securely across all your workflows. Dynamic configuration inputs let a single workflow template work across different project-repo combinations, so you're not maintaining a separate workflow for every combination.
Start using our pre-built Jira Cloud & GitHub templates today
Start from scratch or use one of our pre-built Jira Cloud & GitHub templates to quickly solve your most common use cases.
Jira Cloud & GitHub Templates
Find pre-built Jira Cloud & GitHub solutions for common use cases
Template
Transition Jira Issues When GitHub Pull Requests Change Status
This template watches GitHub pull request events — opened, review requested, approved, and merged — and moves the linked Jira Cloud issue through its workflow stages accordingly. Status mapping is configurable to match any Jira project workflow.
Steps:
- Trigger on GitHub pull request event (opened, reviewed, merged, or closed)
- Extract the Jira issue key from the PR title or branch name using pattern matching
- Call the Jira Cloud API to transition the identified issue to the mapped workflow status
Connectors Used: GitHub, Jira Cloud
Template
Auto-Create GitHub Branch When Jira Issue Moves to In Progress
When a Jira issue moves to 'In Progress,' this template creates a new branch in the designated GitHub repository using the Jira issue key and title as the branch name, ready for the developer to check out immediately.
Steps:
- Trigger on Jira Cloud issue status change to 'In Progress'
- Format branch name using Jira issue key and sanitized summary string
- Create the new branch in the specified GitHub repository via the GitHub API
Connectors Used: Jira Cloud, GitHub
Template
Create Jira Bug Ticket from New GitHub Issue Tagged as Bug
This template watches a GitHub repository for newly opened issues labeled 'bug' and creates a matching Jira Cloud ticket in the configured project, mapping title, body, reporter, and label-to-priority conversion automatically.
Steps:
- Trigger on new GitHub issue created with the 'bug' label applied
- Map GitHub issue fields (title, body, reporter, labels) to Jira Cloud issue fields
- Create a new Bug issue type in the target Jira Cloud project and post the GitHub issue URL as a link
Connectors Used: GitHub, Jira Cloud
Template
Post GitHub PR Review Comments to Linked Jira Issue
Whenever a reviewer submits a comment or review on a GitHub pull request, this template finds the associated Jira issue and appends the review content as a comment, keeping the Jira ticket's activity stream complete.
Steps:
- Trigger on GitHub pull request review or comment event
- Parse the PR title or branch name to extract the linked Jira issue key
- Add the review comment body, author, and timestamp as a comment on the Jira issue
Connectors Used: GitHub, Jira Cloud
Template
Auto-Generate Sprint Release Notes from Merged PRs and Jira Stories
On a schedule or manual trigger, this template collects all GitHub pull requests merged during the sprint window, retrieves their linked Jira issues, and compiles a structured release notes document organized by Jira epic.
Steps:
- Query GitHub for all pull requests merged within the defined sprint date range
- Extract Jira issue keys from PR titles and branches, then fetch full issue details from Jira Cloud
- Aggregate and format the data into a structured release notes output, grouped by Jira epic or label
Connectors Used: GitHub, Jira Cloud
Template
Flag Stale GitHub PRs and Escalate Linked Jira Issues
On a daily schedule, this template identifies GitHub pull requests that have been open without activity past a configurable threshold, then updates priority or adds a blocker flag on the associated Jira issue and optionally sends a Slack notification.
Steps:
- Scheduled trigger queries GitHub for open pull requests and calculates time since last activity
- Filter PRs exceeding the stale threshold and extract their linked Jira issue keys
- Update Jira issue priority or add a blocker label, and log the escalation as a Jira comment
Connectors Used: GitHub, Jira Cloud