That's interesting. Yes, I'd encourage looking at how SDE functions there, as SDE is ultimately using Lempel-Ziv-Welch that operates directly on a tree instead of a serialized string, and where the heuristics for what to add to the dictionary can include templated tree subsets.

That part of it is really independent of the code generation aspect, and could easily be adapted to serialize arbitrary types of tree structures.

Basically what you need is a general mechanism that takes a possibly templated rule, and adds to the dictionary. Then you need a mechanism that looks at a JS object and instead of spitting out JSON, matches the current node to one of the dictionary items and spits out a bit pattern and then recursively spits out the bit pattern for the template arguments. The decoder can basically be very simple recursive descent: Identify the dictionary entry, look it up, find the template rule, recursively call itself to retrieve the template patterns, and reconstitute the object.

The "magic" then lies in the heuristics, which can be very generic (e.g. suitable for any JSON) or very specific (e.g. embedding domain knowledge of what the trees are likely to be shaped like, or at least code to be able to recognize and encode complex shapes when seen).