I will definitely have a look at it. I have something similar I have been working on for a while to give me insight into my own code that became too large to reason over by myself. Its called Determined (because it is deterministic first with some AI narration over it). Mine isn't ready for release yet. I keep driving it to find gaps between what it finds deterministically and what Claude finds.
Have a look at Enola and share us the feedback. We know that building a performant deterministic model of codebase is a big challenge. While there are AST tree-sitters, they are simply not enough. A lot more work needs to go in.
This is an interesting problem to tackle. It's not clear from the github readme what the output of this looks like, specifically what does it return to the LLM?
Does it look clearer from there? (can update the docs as well if it is not clear, but will definitely add the section 'what does it return to agent', need just to think a bit about it).
I will definitely have a look at it. I have something similar I have been working on for a while to give me insight into my own code that became too large to reason over by myself. Its called Determined (because it is deterministic first with some AI narration over it). Mine isn't ready for release yet. I keep driving it to find gaps between what it finds deterministically and what Claude finds.
Have a look at Enola and share us the feedback. We know that building a performant deterministic model of codebase is a big challenge. While there are AST tree-sitters, they are simply not enough. A lot more work needs to go in.
When you publish your project, ping us!
This is an interesting problem to tackle. It's not clear from the github readme what the output of this looks like, specifically what does it return to the LLM?
It's true, moved it from the readme to https://github.com/enola-labs/enola/blob/main/ARCHITECTURE.m...
Does it look clearer from there? (can update the docs as well if it is not clear, but will definitely add the section 'what does it return to agent', need just to think a bit about it).
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