project cambria

• api request -> stack of transformations -> sent to application logic back and forth

• this allows older apis to transform up the stack into a modern server

• when distributing: need compatibility of multiple schemas

• what would it look like to have good tools for handling distributed systems in a systematic way? (shotgun parsing - parsing by if statements - riddling code with little tests and hoping things stick. tools like protobuf in the long term means only adding optional fields, and eventually the data schema has entirely optional types - how do you know what's still relevant at all?)

• manage schema compatibility separate from application logic!

  • provide data transformations; 'bidirectional lenses' - one transformation for the whole schema, as written in a DSL.

  • graph of connected schemas and associated lenses. show how the schemas connect with those lenses

• cambria then:

  • automatically translates data at runtime

  • provides ts type definitions as well as JSON schemas for your code. json's checkable at runtime as needed!

  • integration with Automerge CRDT

• what is the pushpin architecture (from ink and switch?)