# Connect Confluence to GitHub > Automate technical knowledge flow between your wiki and your repositories so engineers always have current docs — without the manual upkeep. **Canonical page:** https://tray.ai/connectors/confluence-github-integrations/ **Confluence connector:** https://tray.ai/connectors/confluence-integrations/ **Confluence documentation:** https://tray.ai/documentation/connectors/service/confluence **GitHub connector:** https://tray.ai/connectors/github-integrations/ **GitHub documentation:** https://tray.ai/documentation/connectors/service/github ## Overview Confluence and GitHub are where modern software development actually happens — one holds your product's living documentation, the other holds the code. But without a direct integration, engineers are constantly bouncing between the two: manually copying release notes, updating wiki pages after PRs merge, tracking issues across disconnected systems. Connecting Confluence and GitHub through tray.ai automates that synchronization so documentation stays accurate, stakeholders stay informed, and developers stay focused on shipping. Software teams live in two worlds: code (GitHub) and knowledge (Confluence). When those worlds run independently, documentation goes stale the moment a PR merges, release notes go unwritten, and onboarding wikis quietly rot. Connecting Confluence with GitHub through tray.ai builds automated pipelines that trigger documentation updates when code events happen — a merged PR, a new release tag, a closed issue. Engineering leads get audit trails that tie decisions in Confluence to actual commits. Product managers get automatically populated release notes. New developers get wikis that reflect what the codebase actually does. Documentation stops being something teams have to fight for and starts reinforcing itself. ## Use cases ### Auto-Generate Release Notes in Confluence from GitHub Releases When a new release is published in GitHub, tray.ai can automatically create or update a Confluence page with structured release notes, pulling in the release title, tag, description, and linked pull requests. No more writing and publishing release documentation by hand after every deployment cycle. - Release notes appear in Confluence within seconds of a GitHub release event - Consistent formatting across all release documentation without manual copy-paste - Product managers and stakeholders always have access to the latest changelog without needing GitHub access ### Sync GitHub Issues to Confluence Project Trackers Automatically mirror newly opened or updated GitHub Issues into a Confluence page or database, giving non-technical stakeholders a readable view of active bugs, feature requests, and work items. When issues are closed or labeled in GitHub, the corresponding Confluence entry updates to match. - Stakeholders can track engineering work without a GitHub account - Confluence project pages stay current without manual copy-paste of issue data - Label and status changes in GitHub are reflected in Confluence in real time ### Create GitHub Issues from Confluence Action Items When a Confluence page is updated with a specific label, macro, or status — say, a technical spec moving to 'Approved' — tray.ai can automatically create a corresponding GitHub Issue and link it back to the source page. Planning decisions become executable work items without anyone re-entering data. - Engineers get GitHub Issues derived directly from approved technical specs - Bi-directional links keep Confluence pages connected to their GitHub counterparts - Nothing falls through the gap between planning and implementation ### Update Confluence Architecture Docs When Repositories Are Created or Modified When a new GitHub repository is created, renamed, or archived, tray.ai can automatically update a Confluence service catalogue or architecture overview to reflect the change. Your system documentation stays aligned with the actual state of your GitHub organization. - Service catalogues in Confluence stay accurate without manual maintenance - Onboarding engineers find current repository information in the wiki - Repository lifecycle events — creation, deprecation, archiving — are documented automatically ### Post Pull Request Summaries to Confluence Team Pages When a pull request is merged in GitHub, tray.ai can append a structured summary — author, linked issues, files changed, description — to a team or squad page in Confluence. The result is a running log of engineering activity that anyone in the organization can read. - Engineering managers can see merged work without digging through GitHub - Team pages become a human-readable record of code changes over time - PR summaries can be tagged by project or squad for easy filtering in Confluence ### Trigger Confluence Page Reviews from GitHub Code Review Activity When a pull request touches files related to a documented component, tray.ai can automatically flag the corresponding Confluence page for review and notify the page owner that related code is changing. Architecture and API docs stay in sync with what's actually being built. - Documentation owners get a heads-up when related code is under review - Reduces the chance of docs going stale after major refactors - Creates a direct link between code change management and documentation governance ### Onboarding Wiki Auto-Population from GitHub Repository Metadata For teams onboarding new engineers, tray.ai can automatically populate Confluence onboarding pages with repository details pulled from GitHub — README content, contributors, branch conventions, CI pipeline descriptions. New hires get accurate onboarding content without anyone having to manually maintain it. - Onboarding documentation reflects the real state of repositories at any given time - Engineering leads save hours of manual wiki maintenance per onboarding cycle - README updates in GitHub automatically propagate to the Confluence onboarding space ## Templates ### GitHub Release → Confluence Release Notes Page Automatically creates a new Confluence page in a designated release notes space whenever a GitHub release is published, populating it with the tag name, release body, author, and associated repository. Connectors used: GitHub, Confluence ### GitHub Issue Created → Confluence Project Log Updated When a new issue is opened in GitHub, this template appends the issue title, number, labels, and assignee to a Confluence page acting as a living project tracker, keeping stakeholders informed without GitHub access. Connectors used: GitHub, Confluence ### Confluence Spec Approved → GitHub Issue Created When a Confluence page's status label is set to 'Approved' using a page property macro, tray.ai automatically creates a linked GitHub Issue in the relevant repository, bridging planning and execution. Connectors used: Confluence, GitHub ### Merged Pull Request → Confluence Team Activity Log Every time a pull request is merged in a monitored GitHub repository, this template appends a formatted summary to a Confluence team page, building a persistent, readable log of engineering output. Connectors used: GitHub, Confluence ### New GitHub Repository → Confluence Service Catalogue Entry When a new repository is created in a GitHub organization, this template automatically adds a new row or page to a Confluence service catalogue, populating it with the repository name, description, visibility, and owner. Connectors used: GitHub, Confluence ### Confluence Doc Flagged for Review When Related GitHub PR Opens When a pull request is opened in GitHub that modifies files matching a documented component's file path patterns, tray.ai flags the corresponding Confluence page for review and notifies the page owner. Connectors used: GitHub, Confluence ## Challenges Tray.ai solves ### Keeping Documentation Current as Code Moves Fast In fast-moving engineering teams, code changes outpace documentation. PRs merge daily while Confluence pages go weeks without being touched, and the gap between what the code does and what the docs say keeps widening. **How Tray.ai helps:** tray.ai listens to GitHub webhook events in real time and triggers Confluence updates automatically whenever code changes occur. Merged PR, closed issue, new release tag — tray.ai maps those events to specific Confluence pages and keeps documentation current without developers having to do anything manually. ### Bridging Access Gaps Between Technical and Non-Technical Teams Product managers, executives, and support staff often don't have GitHub access and honestly don't want it — but they still need to know what engineering is working on. Without integration, someone has to manually translate GitHub activity into reports or wiki updates, and that job usually falls to an engineer who has better things to do. **How Tray.ai helps:** tray.ai automatically syncs GitHub activity into readable Confluence pages, surfacing issue status, PR summaries, and release notes in a format any team member can follow. Engineers stop being the reporting layer, and stakeholders get accurate, real-time visibility. ### Avoiding Duplicate Data Entry Across Planning and Execution Tools Teams write technical specs in Confluence and then re-enter much of the same information when creating GitHub Issues or milestones. It's time-consuming, error-prone, and the link between the planning document and the actual work item is usually fragile. **How Tray.ai helps:** tray.ai automates the handoff from Confluence to GitHub, triggering issue or milestone creation directly from spec page content. Page properties like repository name, labels, and assignee map to GitHub fields automatically, so the work item always traces back to its Confluence source. ### Managing Webhook Complexity and API Rate Limits at Scale Building a direct Confluence-GitHub integration means managing webhook registrations, handling authentication for both platforms, respecting GitHub's rate limits, and dealing with Confluence's pagination and content storage formats. It's a real engineering project — and then someone has to maintain it. **How Tray.ai helps:** tray.ai's pre-built connectors for Confluence and GitHub handle authentication, rate limit retries, pagination, and webhook management automatically. Teams can build sophisticated two-way integrations through a visual workflow builder without writing or maintaining custom integration code. ### Keeping a Clear Trail from Decision to Code Engineering organizations need to trace why code was written — connecting commits and PRs back to the design decisions and approved specs that motivated them. Without automation, that traceability is either maintained by hand or not at all, which makes audits and incident investigations genuinely painful. **How Tray.ai helps:** tray.ai can create and maintain two-way links between Confluence pages and GitHub entities, updating Confluence pages with PR URLs when code merges and embedding Confluence page references in GitHub Issues when specs are approved. You get a navigable chain of context from documentation through to implementation that doesn't decay over time. ## Learn more - Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/ - Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/ - Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/ - Book a demo: https://tray.ai/contact/