I agree 100% with this thinking approach, I've been working in this domain for quite a few months now.
The right granularity for agents isn't files or lines, it's entities: functions, classes, methods. That's how both humans and agents actually think about code.
We built sem(Ataraxy-Labs/sem) which extracts entities from 30+ languages via tree-sitter and builds a cross-file dependency graph, so building semantic version control and semantic diff. weave (same org) takes it further and does git merges at entity level. Matches functions by name, merges their bodies independently.
The dependency graph also answers questions LLMs can't. I love the analysis based on ASTs.
The right granularity for agents isn't files or lines, it's entities: functions, classes, methods. That's how both humans and agents actually think about code.
We built sem(Ataraxy-Labs/sem) which extracts entities from 30+ languages via tree-sitter and builds a cross-file dependency graph, so building semantic version control and semantic diff. weave (same org) takes it further and does git merges at entity level. Matches functions by name, merges their bodies independently.
The dependency graph also answers questions LLMs can't. I love the analysis based on ASTs.