hound VS sourcegraph

The same algorithm is also used in Hound (https://github.com/hound-search/hound) though I have to say the best implementation of code search by far that I've seen is https://grep.app

You really should check it out if you haven't already. It's incredibly useful; I used it all the time. Not open source though.

There is also Hound [8].

[8]: https://github.com/hound-search/hound

Agreed, I already have Hound setup to search across all the different repos I pull from (bitbucket, gh, gitlab, gitea etc) but now I need to find a docker equivalent.

i know you're looking for first-party tools that is part of the whole package, but hound does this fantastically and is extremely easy to setup, and is ridiculously fast.

Especially if this is long term, this is a great tool:

https://github.com/hound-search/hound#hound

It would be great if someone integrated this with tree-sitter plus something to make the search semantics a bit smarter about usages of X:

https://www.etsy.com/codeascraft/announcing-hound-a-lightnin...

Screenshots:

https://jaxenter.com/hound-go-react-code-search-engine-15008...

Another trick I use for Java: javap all the Enums out of the compiled artifacts; these indicate weird things like "modes" that you can use to start asking questions relevant to the domain. Like "why are there four ways to reprice an invoice" or finding the "types" of fees or w/e in a billing system. (assuming enum classes are used)

Nice too that it's a compiled language, so you get the end tool in a nice static binary. As a non-Node dev, I hate the experience of hacking on some project and having to install a giant pool of NPM stuff just run some minifier or linter. Hound is an example of this— the guts of the project are golang, but it has a frontend that uses webpack, jest, etc: https://github.com/hound-search/hound

Which is fine, I guess; definitely use the right tool for the job. And maybe Node developers hate finding my Python projects and needing to set up a virtualenv to run them in. But all the same, I approve a direction where more of this kind of tooling is available without a build-time Node dependency.

[2] https://about.sourcegraph.com/

[3] https://oracle.github.io/opengrok/

[4] https://github.com/hound-search/hound

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.

Apply here: https://grnh.se/0572f98b4us

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...