At this point, the question is: why keep files as blobs in the first place. If a revision control system stores AST trees instead, all the work is AST-level. One can run SQL-level queries then to see what is changing where. Like
- do any concurrent branches touch this function?
- what new uses did this function accrete recently?
- did we create any actual merge conflicts?
Almost LSP-level querying, involving versions and branches.
Beagle is a revision control system like that [1]
It is quite early stage, but the surprising finding is: instead of being a depository of source code blobs, an SCM can be the hub of all activities. Beagle's architecture is extremely open in the assumption that a lot of things can be built on top of it. Essentially, it is a key-value db, keys are URIs and values are BASON (binary mergeable JSON) [2] Can't be more open than that.
It is quite early stage, but the surprising finding is: instead of being a depository of source code blobs, an SCM can be the hub of all activities. Beagle's architecture is extremely open in the assumption that a lot of things can be built on top of it. Essentially, it is a key-value db, keys are URIs and values are BASON (binary mergeable JSON) [2] Can't be more open than that.
[1]: https://github.com/gritzko/librdx/tree/master/be
[2]: https://github.com/gritzko/librdx/blob/master/be/STORE.md