Stop manually exporting development metrics or writing custom ETL scripts to track engineering activity. Redbird AI automatically syncs GitHub events, pull requests, commits, and CI/CD data into Redshift for analytics — no data engineering required.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture every PR opened, reviewed, merged, or closed across your repositories. Build a complete audit trail of code changes, review cycles, and deployment velocity in your data warehouse. Power engineering dashboards with real-time development metrics.
Store every workflow execution, build result, test outcome, and deployment event in Redshift. Track CI/CD performance trends, identify flaky tests, and measure pipeline efficiency over time. Retain historical data beyond GitHub's default retention limits.
Capture issue creation, assignment, status changes, and resolution across all repositories. Join GitHub issues with sprint data, customer tickets, and product roadmaps in your warehouse. Calculate cycle time, throughput, and work distribution metrics.
Stream every commit with author, timestamp, files changed, and repository metadata into Redshift. Analyze code contribution patterns, repository health, and team velocity. Create attribution models that connect code changes to business outcomes.
Monitor data warehouse queries for anomalies, slow performance, or failed analytics jobs. Automatically create GitHub issues when data quality problems are detected or when scheduled reports fail. Route alerts to the right repositories and team members.
Augment development activity with customer impact data, feature flags, and revenue metrics stored in your warehouse. Automatically tag pull requests with affected customers or deployment risk scores. Connect code changes to business KPIs in real-time.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize GitHub and Redshift 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 GitHub's event-driven development model and Redshift's columnar data structures — automatically mapping code activity to analytics-ready tables without custom transformations.
Redbird natively understands GitHub's REST and GraphQL APIs, webhook payloads, and nested object structures like PR reviews and check runs. It automatically designs optimized Redshift table schemas with appropriate SORTKEY and DISTKEY settings for time-series development data. The AI handles JSON flattening, type conversion, and incremental updates — transforming GitHub's event streams into queryable fact and dimension tables. No dbt models or Airflow DAGs required.
faster than building custom GitHub-to-Redshift ETL pipelines
Redbird can pull from GitHub and Redshift 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 GitHub or Redshift.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from GitHub into Redshift, or from Redshift back into GitHub. 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 workflows from any GitHub event or Redshift query result — Redbird handles the rest.
Trigger when any PR changes state across specified repositories or organizations.
React to CI/CD pipeline runs finishing with success, failure, or cancellation status.
Start workflows when issues are opened or tagged with specific labels like 'bug' or 'data'.
Open new issues or update existing ones with data-driven insights from your warehouse.
Post automated comments with analytics results, test coverage, or deployment impact data.
Programmatically start GitHub Actions workflows based on warehouse events or schedules.
Trigger when scheduled Redshift queries return results that meet specified conditions or anomalies.
React when specific Redshift tables receive new data or row counts change significantly.
Start workflows when validation queries detect missing data, duplicates, or schema drift.
Run dynamic Redshift queries with data from GitHub events as parameters.
Write GitHub event data directly into Redshift tables with automatic conflict resolution.
Dynamically update Redshift views based on new repository structures or analytics requirements.
Join engineering and data teams using Redbird AI to sync GitHub development activity with Redshift analytics — automatically. Set up your first workflow in minutes, not weeks.