What we found was that its not just about having access to these tools but to smartly perform the `go-to-definition` `go-to-reference` etc to grab the right context as and when required.
Every LLM call in between slows down the response time so there are a fair bit of heuristics which we use today to sidestep that process.
We also use tree-sitter for the smartness of understanding symbols https://github.com/codestoryai/sidecar/blob/ba20fb3596c71186... and also the editor for talking to the Language Server.
What we found was that its not just about having access to these tools but to smartly perform the `go-to-definition` `go-to-reference` etc to grab the right context as and when required.
Every LLM call in between slows down the response time so there are a fair bit of heuristics which we use today to sidestep that process.