Development
Developer entry points for integrating with BullSequana AI and deploying new use cases
Development focuses on two practical tracks:
- consuming BullSequana AI models through the stable platform API
- deploying new applications and use cases on top of the platform
This section is meant for developers, solution teams, and platform teams building on top of BullSequana AI.
Recommended Background
Helpful experience for this section includes:
- general software engineering and API integration
- Docker and local development environments
- bearer-token or API-key based authentication
- Kubernetes basics
- Helm packaging
- GitOps concepts when deploying through
Argo CD
The more detailed pages in this section add more specific guidance where needed.