lsif-clang VS sourcegraph

In the top right corner of the tooltip it will say either "Search-based" or "Precise" - in this case, you're right, we don't have the abseil-cpp repo indexed so it falls back to search-based as you describe.

We do have a C++ code indexer in beta, https://github.com/sourcegraph/lsif-clang - it is based on clang but C++ indexing is notably harder to do automatically/without-setup due to the varying build systems that need to be understood in order to invoke the compiler.

Interesting because on https://lsif.dev/ I see that LSIF support for C++, which basically is just a wrapper around clangd AFAIU, is deprecated. Is there something else that replaced it?

We already have an LSIF indexer for C++ (lsif-clang); however, that is not as feature complete as the other indexers. Moreover, the codebase is forked off of Clang 10, so upgrading to newer Clang versions (and build a SCIP indexer on top of that) will be a challenge.

- Go:

Why are not all repos covered?

Because different languages have different build systems, so inferring the right build commands, dependencies etc. is not so straightforward; these are necessary per-requisites for compiler-accurate cross references. We're working on fixing this with auto-indexing: https://docs.sourcegraph.com/code_intelligence/explanations/...

For C and C++ specifically, auto-indexing is challenging because of the large variety in build systems, informal specification of dependencies (such as in a README instead of a machine-readable format), and platform-specific code.

Outside of auto-indexing, we do have an indexer for C and C++ right now (https://github.com/sourcegraph/lsif-clang) which can be run in CI; that way one can generate an index and upload it to Sourcegraph on a regular basis. It is 'Partially available' (https://docs.sourcegraph.com/code_intelligence/references/in...) right now. We're keenly aware of the interest in C++, and are working our way through different languages based on usage.

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That's pretty much what https://sourcegraph.com/ are selling, is it not?

Despite their shitty rug-pull <https://github.com/sourcegraph/sourcegraph/pull/53345>, I do really like Sourcegraph and one doesn't (currently?!) need to be logged in to use it: https://sourcegraph.com/search and they have a handy rewrite pattern such that one can just plug the repo path into the URL for quick searching e.g. https://sourcegraph.com/github.com/JetBrains/intellij-commun...

- https://sourcegraph.com is pivoting and building a copilot application (named Cody). This is pretty good, since sourcegraph is great at understanding your code

While a readable Dockerfile can work as documentation, there are a few caveats:

* the application needs to be designed to work outside containers (so, no hardcoded URLs, ports, or paths). Also, not directly related to containers, but it's nice if it can be easily compiled in most environments and not just on the base image.

* I still need a way to notify me of updates; if the Dockerfile just wgets a binary, this doesn't help me.

* The Dockerfiles need to be easy to find. Sourcegraph's don't seem to be referenced from the documentation, I had to look through their Github repos to find https://github.com/sourcegraph/sourcegraph/tree/main/docker-... (though most are bazel scripts instead of Dockerfiles, but serve the same purpose)

We use Sourcegraph, which is a tool that searches through code in repositories. We leverage this tool in order to understand the adoption curve of our components across all of Reddit. We have a dashboard for each of the platforms to compare the inclusion of RPL components over legacy components. These insights are helpful for us to make informed decisions on how we continue to drive RPL adoption. We love seeing the green line go up and the red line go down!

SourceGraph: https://github.com/sourcegraph/sourcegraph/pulls?q=is%3Apr+a...