GitHub Deploy → Run Tests → Update Project Status
Automatically deploy code changes, run comprehensive tests, and update project management tools when new AI model versions are pushed to production.
Workflow Steps
GitHub Actions
Trigger deployment workflow
Set up a GitHub Actions workflow that triggers on pushes to main branch. Configure the workflow to build and deploy your AI model (like Hermes) to your chosen cloud platform using containerization.
GitHub Actions
Run automated test suite
Execute unit tests, integration tests, and model validation tests. Include performance benchmarks and accuracy checks. Fail the deployment if any critical tests don't pass predefined thresholds.
Linear
Update deployment status
Use Linear's API to automatically update related tickets with deployment status. Mark features as 'Deployed' and add deployment timestamps. Include links to monitoring dashboards and deployment logs.
Workflow Flow
Step 1
GitHub Actions
Trigger deployment workflow
Step 2
GitHub Actions
Run automated test suite
Step 3
Linear
Update deployment status
Why This Works
GitHub Actions provides reliable CI/CD, automated testing catches issues early, and Linear integration keeps stakeholders informed without manual updates.
Best For
Development teams deploying AI models with automated testing and project tracking
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