Vue Storefront VS sourcegraph

4+ years in and we are 100+ people company covering most of the commerce platforms out there - check it out www.vuestorefront.io

We're currently building an integration between Vue Storefront (https://www.vuestorefront.io/) and WooCommerce.

If you are looking for a production-ready Nuxt application with Shopify, check out https://www.vuestorefront.io/ and especially, the integration with Shopify https://docs.vuestorefront.io/shopify/.

Vue Storefront is an open source frontend framework for headless ecommerce built on top of Vue.js. It provides ready-made integrations to existing ecommerce platforms and allows you to extend the framework to build your own integration.

To enable Cache on the browser level, we will be using a http-cache package from Vue Storefront that you can check out here.

Vue Storefront is Lightning-Fast Frontend Platform for Headless Commerce. Boost your site performance, shape the customer journey and free your developer's creativity with Vue Storefront, the last frontend you will ever need.

For the storefront you have many options. For instance, there is Vue Storefront or Next.js Commerce.

Vue storefront is an open source platform that provides a storefront for ecommerce platforms. Although it integrates with many monolithic platforms, it is made specifically for headless commerce platforms.

Personally if I were hiring for this today I'd look for someone with prior experience with a "headless" solution that works with multiple ecommerce platforms. Vue Storefront and Gatsby are the best of the bunch in my opinion.

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...