Leverage customer's accepted/rejected data to improve code generation

• Opt-in enhanced experience that leverages historical migration data stored in a server side component.
• Store metrics and code snippets related to accepted/rejected fixes generated by Kai.
  • Mining previous historic migration data in an existing MTA instance will be explored in the future, but it’s out of scope for MTA 8.0 GA.
• Leverage stored information to:
  • Produce relevant hints that can be leveraged when building prompts for the LLM.
  • Surface Confidence Level or the likelihood of Kai producing an accepted solution. 
• Implement client side configuration in the IDE plugin to access the Solution Server.

This is planned to be achieved via the Solution Server.

Engineering's design document: 

https://docs.google.com/document/d/1rSsBrHf_RDyZYmX0OV8MWelB55rQVv-KnyISXK-KFlM/edit?tab=t.0

Upstream issue tracking this bucket of work:

https://github.com/konveyor/kai/issues/746