Baserow VS sourcegraph

4. Baserow - 1.5k ⭐️

GitLab repository: https://gitlab.com/bramw/baserow.

💬 Follow us at @baserow on Twitter for staying in the known of all company updates and news. ⌨️ Join the Baserow community forum to chat with other developers and the Baserow team. ⭐️ Star Baserow on GitLab to show your appreciation of our work.

Check out the full roundup: https://baserow.io/blog/1-14-release-of-baserow. Test out Baserow 1.14: https://baserow.io. GitLab repository: Bram Wiepjes / baserow · GitLab.

Baserow

I'd also written an article on token authentication for django: https://www.spapas.net/2021/08/25/django-token-rest-auth/ using the REST Framework's TokenAuthentication.

This is simplest thing for most cases.

The session authentication that is proposed in the article is also great but has two problems:

* It will be hacky to implement for mobile apps (it should be possible but would not be something I'd like to do, I had tried in the past and remember that I needed to jump to a lot of hoops to "pick" that session cookie)

* The cookies can't be shared between different domains (cookies be shared the same domain or between a parent and child domain, i.e api.example.com can set/get cookies from .example.com).

So you can use the SessionAuthnentication if your frontend and backend share their domain and you know that your API won't ever be used for mobiles apps. On all other cases use TokenAuthentication.

I don't have experience with JWT Authentication, however I know it can be done and is used be various apps f.e baserow: https://gitlab.com/bramw/baserow/-/blob/develop/backend/src/...

Feel free to dig into https://gitlab.com/bramw/baserow repository, e.g. https://gitlab.com/bramw/baserow/-/blob/develop/backend/Dockerfile... There are docker compose files too.

Great idea! I've created an issue for it on the backlog https://gitlab.com/bramw/baserow/-/issues/1399.

Here is the full scoop on all new things: https://gitlab.com/bramw/baserow/-/releases/1.13.1.

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

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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...