scip-clang VS sourcegraph

Use clangd as a library downstream, instead of directly using Clang - This could've potentially worked, but the problem is that it adds one more layer of indirection for understanding and debugging, which isn't necessarily a win just to get some more code reuse. I've read through some of the clangd code to see if we should adjust our own code. E.g. this bug fix is based on how clangd handles unresolved dependent names: https://github.com/sourcegraph/scip-clang/pull/321

(I work on C++ indexing at Sourcegraph.)

As my colleague mentioned in a sibling comment, we have an existing indexer lsif-clang which supports C++. I just added a Chromium example to the lsif-clang README right now: (direct link) https://sourcegraph.com/github.com/chromium/chromium@cab0660...

We are also actively working on a new SCIP indexer which should support features like cross-repo references in the future. https://github.com/sourcegraph/scip-clang

Right now, Abseil doesn't have precise code navigation because no one has uploaded an index for it. In an ideal world, we would automatically have precise indexes for all the C++ code on Sourcegraph, but that's a hard problem because of the large variety in build systems, build configurations, and system dependencies that are often specified outside the build system.

Sourcegraph | REMOTE | Full-Time | Machine Learning Engineer, Developer Advocate, Enterprise Product Manager, Technical Advisor | https://sourcegraph.com

Sourcegraph is a code AI platform that makes it easy to read, write, and fix code–even in big, complex codebases.

We are building Cody, an AI coding assistant that uses code search and code intelligence to help devs quickly understand what's happening in code and generate new code that matches the best practices in your codebase. Cody supports AI-enabled autocompletion, fixing bugs, refactoring, test generation, code explanation, and answering high-level questions. You can read Steve Yegge's post on why Cody's code context engine differentiates it from the fast-moving field of AI dev tools: https://about.sourcegraph.com/blog/cheating-is-all-you-need.

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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...