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Feature
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Resolution: Unresolved
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Major
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None
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None
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False
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False
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Goals
To lower the learning curve, reduce user errors, and accelerate pipeline modifications by enhancing the OCP Pipeline Builder with generative AI capabilities, allowing OCP users to define pipelines using natural language, removing YAML as a barrier to adoption (e.g., “add a vulnerability scan after the 'build' task”).
Requirements
| Requirements | Notes | IS MVP |
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Out of scope
- Fine-Tuned LLM model
- Provide domain-specific docs for a RAG (Retrieval Augmented Generation) system for pipeline analysis.
Dependencies
- OpenShift LightSpeed
- OpenShift Webconsole UX Design.
- Tekton MCP Server (if case OLS cannot produce high quality OSP Yaml snippets)
Assumptions
Customer Considerations
- LLM capable to produce OpenShift Pipelines YAML snippets
- OpenShift LightSpeed enabled with a connection to a LLM
Done Checklist
- Requirements are met
- Non-functional properties of the Feature have been validated (such as performance, resource, UX, security or privacy aspects)
- User Journey automation is delivered
- Support and SRE teams are provided with enough skills to support the feature in production environment