Redbird AI syncs documentation with code reality automatically. Stop manually updating release notes, chasing down deployment docs, and reconciling specs with shipped features. Keep your wiki and repositories in perfect sync.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When a GitHub release is published, Redbird extracts merged pull requests, commit messages, and issue references to generate formatted release notes. The documentation is automatically posted to your designated Confluence space with proper versioning and links back to the code.
Track which technical specifications have been implemented by monitoring GitHub pull requests linked to spec documents. Redbird updates Confluence page status macros and adds implementation metadata including merge dates, PR authors, and affected repositories.
When team meeting notes are published in Confluence with tagged action items, Redbird automatically creates corresponding GitHub issues in the right repository. Each issue includes context from the meeting, assignees, and links back to the decision documentation.
Monitor GitHub repositories for significant architectural changes detected through commit patterns, file structure modifications, or dependency updates. Redbird flags outdated ADRs in Confluence and drafts update suggestions based on actual code evolution.
At sprint end, Redbird compiles Confluence retrospective pages enriched with GitHub data: deployment frequency, PR cycle times, code review patterns, and issue closure rates. Teams get complete sprint documentation that combines qualitative feedback with quantitative engineering metrics.
Automatically pull README files, CONTRIBUTING.md guides, and wiki content from GitHub repositories into structured Confluence onboarding spaces. Redbird maintains formatting, updates links, and keeps documentation synchronized as repositories evolve.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Confluence and GitHub with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands Confluence's page hierarchy, macros, and content structure alongside GitHub's commit history, pull request workflows, and issue tracking — no manual mapping required.
Redbird parses Confluence's Storage Format XML, page labels, space permissions, and macro structures while simultaneously understanding GitHub's commit graphs, PR metadata, Actions workflows, and issue relationships. The AI identifies semantic connections between technical specs and implementation PRs, matches Confluence page updates to code changes, and maintains bidirectional context across documentation and repositories. It recognizes patterns like spec-to-implementation workflows, release documentation structures, and decision-tracking conventions your team already uses.
faster than manual doc updates after each release
Redbird can pull from Confluence and GitHub simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Confluence or GitHub.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Confluence into GitHub, or from GitHub back into Confluence. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any Confluence page update or GitHub repository event, then take action across both platforms.
Fires when a page is created, edited, or published in a specific Confluence space or with certain labels.
Triggers when users comment on documentation, specs, or meeting notes for team collaboration.
Detects when pages are tagged with specific labels or when status macros are updated.
Write new Confluence pages or update existing documentation with formatted content and macros.
Post comments on Confluence pages with data, mentions, and links from GitHub activity.
Modify page metadata, status indicators, and labels to reflect implementation progress or code changes.
Fires when PRs are created, updated, merged, or closed across monitored repositories.
Triggers when a new release or tag is created, indicating shipped features ready for documentation.
Detects new issues, bugs, or feature requests, especially when tagged with specific labels.
Open GitHub issues in specific repositories with descriptions, labels, assignees, and project links.
Modify pull request details, add context from specs, or update labels based on documentation changes.
Add comments to GitHub discussions with links to documentation, decision records, or meeting notes.
See how Redbird AI keeps your Confluence documentation and GitHub repositories perfectly aligned. Connect both tools and start automating in minutes.