Jacob Chvatal's Wiki
- 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?)