Orbit

This project brilliantly bridges the gap between raw text and semantic understanding. Most IDEs struggle to perform fast, cross-file reference tracking without loading heavy language servers that consume gigabytes of RAM. This solution solves that friction point elegantly.

What I like Smart tech stack: As a prior contributor to DuckDB, it was fantastic to see it leveraged here :) Outstanding Documentation: The documentation is incredibly insightful, thoroughly explaining everything from high-level design to deep implementation details. Production-Grade Codebase: It’s not so often to find big project feel this stable. Everything is tested without any flakiness, and the strict linting ensures a consistent style. The clean architecture makes it incredibly easy to navigate the codebase and get up to speed instantly.

What did I do?

1. C++ Concepts (issue #687) I added definition extraction for C++20 concept declarations. I introduced a new definition("concept_definition") rule in cpp.rs to ensure the CodeGraph engine picks them up as top-level definitions, allowing users to query for concepts just like they would for classes or functions.

2. C++ Templates (issue #681) I filled a gap in test coverage regarding C++ template methods. I created a brand new, standalone templates.yaml fixture to formally prove that the engine successfully parses and extracts template methods located inside non-template classes (e.g. template void serialize(T data) {}).

3. Go Var & Const Blocks (issue #671) I fixed an issue where Go variables and constants grouped in parenthesis blocks (e.g., var ( a = 1; b = 2 ) or const (...)) weren't being extracted properly. I updated the bindings in go.rs to iterate through and extract each individual variable or constant specification as its own distinct definition node.

4. Python Dataclass References (issue #759) I implemented the logic to draw Calls (reference) edges whenever a Python dataclass field is accessed (e.g., u.email). I added the reference("attribute") rule, but more importantly, we added typed_parameter and typed_default_parameter bindings. This allowed the TypeFlow/SSA engine to actually propagate the User type through the function parameter so u.email correctly resolves to the precise dataclass field definition, ignoring decoy fields with the same name.

Merge Requests:

https://gitlab.com/gitlab-org/orbit/knowledge-graph/-/merge_requests/1681 https://gitlab.com/gitlab-org/orbit/knowledge-graph/-/merge_requests/1678 https://gitlab.com/gitlab-org/orbit/knowledge-graph/-/merge_requests/1675 https://gitlab.com/gitlab-org/orbit/knowledge-graph/-/merge_requests/1676

Built With

• rust
• yaml