sourcegraph VS garden

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...

Hey there! Have you tried garden.io for caching? We also cache tests. Pretty much anything that's possible to cache. We're open source at https://github.com/garden-io/garden

To add to what's already been said: If you think about it, CI pipelines are typically a complete description of how your system is built, tested, and deployed.

Which is pretty fantastic except for how walled off they are. You can't really re-use these descriptions for e.g. development, they're not vendor agnostic, and they only way to run them is by pushing your code.

Maybe it's a silly analogy but it's almost like being a web dev that doesn't have a browser and needs to send their code to a friend who can tell them if that font size looks good.

I think we're way over due for freeing these "blueprints" of our system from the confines of CI and making them portable and flexible. And containers are the technology that's enabling that.

Full disclaimer (as always): I work at Garden[0] where we're also solving that problem but taking a slightly different approach to Dagger (it's still a DAG). Garden config is declarative and the jobs (we call them actions) have a semantic meaning. You can e.g. have a Build action of type container or a Deploy action of type Helm and Garden will figure out what to do with it.

[0] https://github.com/garden-io/garden

Yes, there's us over at https://github.com/garden-io/garden! We're big believers in pipelines that run anywhere. I even made a short little video that should give you the gist. [1]

Some of the short-list of differences: we use YAML for our configuration language, Dagger can use full-fat languages to define its pipelines. Our feature scope is broader: you can use us to vend IDP-like stacks to your developers if you're a Platform Team; we make development with remote Kubernetes clusters very easy, including all the remote image builds; and we have a number of integrations so you can bring your IaC tool of choice (Pulumi, Terraform) into your pipeline and set up service -> infra dependencies.

[1] https://www.youtube.com/watch?v=JFnan6s2cDg

Me too. In fact Garden (dev tooling for the Kubernetes)[0] is a Berlin start-up with three Icelandic founders.

And if I'm not mistaken, two of us worked briefly with @halldorel (above commenter) at an earlier Icelandic start-up. It's a small world (if you're Icelandic).

[0] https://garden.io

There are dedicated tools just for that. Apart from skaffold check also tilt.dev, garden.io, devspace.sh, okteto.com

Would appreciate any insights on garden.io. Thanks.

Telepresence, tilt, garden.io, okteto, skaffold etc.

- https://garden.io/

haha, do my pictures give off a strong not-web-dev vibe? Either way your right, I'm focusing on devxp and automation for kubernetes. Because my work is open source you can see it here https://github.com/garden-io/garden (btw we're also hiring another open core dev like me)