Redbird AI automates the workflow between your data transformation layer and version control. Stop manually syncing model changes, test results, and documentation between your dbt projects and GitHub repositories — let AI keep your analytics codebase in sync.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When dbt models are updated or tests run, automatically commit the changes, test outputs, and generated documentation to the corresponding GitHub branch. Keep your repository in sync with your transformation logic without manual git operations.
Monitor dbt test runs and automatically create GitHub issues with full context when tests fail — including which models are affected, what failed, and lineage information. Route to the right team with proper labels and severity.
Watch for pull request merges in your dbt project repository and automatically trigger the corresponding model builds in your data warehouse. Ensure your transformed data stays current with your latest code.
When dbt models are documented or schema definitions updated, automatically generate and commit markdown documentation to your GitHub repository. Keep technical documentation versioned alongside code.
When pull requests modify dbt models, automatically analyze downstream dependencies and post lineage impact reports as comments. Help reviewers understand what models, tests, and dashboards will be affected.
Automatically trigger dbt compile, test, and validation workflows when pull requests touch model definitions. Post build status, test coverage, and compilation errors directly back to the PR.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt 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 dbt's model structure, test framework, and lineage graph — and how they map to GitHub's repository layout, pull request workflow, and CI/CD pipelines.
Redbird parses your dbt project files, manifest.json, and run results to understand model dependencies, test definitions, and documentation. It maps these to your GitHub repository structure, knows which files correspond to which models, and can trace changes through your git history. The AI identifies which pull requests affect which data models, what tests cover each change, and how to route alerts based on code ownership.
faster than manually syncing dbt state with GitHub
Redbird can pull from dbt 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 dbt 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 dbt into GitHub, or from GitHub back into dbt. 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 event in dbt or GitHub — model runs, test failures, pull requests, merges, and more.
Triggers when a dbt model finishes building in your data warehouse.
Triggers when a dbt data quality test completes with success or failure status.
Triggers when dbt generates updated documentation or schema definitions.
Commits dbt-generated files or metadata to a specified GitHub branch.
Creates a GitHub release tag corresponding to a dbt project version.
Updates dbt project configuration or metadata files in the repository.
Triggers when a PR is created or new commits are pushed to a dbt repository.
Triggers when pull requests are merged into your primary dbt project branch.
Triggers when GitHub issues related to data quality or models are updated.
Creates a GitHub issue with test failure details, affected models, and lineage.
Posts dbt test results, lineage analysis, or build status as PR comments.
Sets GitHub commit status based on dbt compile, test, or build results.
Sync dbt and GitHub in minutes. Redbird AI handles the complexity of keeping your data transformation code, tests, and documentation in perfect sync with version control.