exercise VS sourcegraph

[REMOTE] FULLSTACK (BUT MOSTLY BACKEND) DEVELOPPER ; TYPESCRIPT / NEXTJS / MONGODB

We are building a bank application with current & saving accounts, money management, wire transfers, and card management. We are launching on the French market this spring and the next step is to go to Europe for 2022. The draft is here : [https://green-got.com/](https://green-got.com/).

The endgame is to offer a solution that will reduce the carbon footprint of our clients by redirecting their money from carbon-heavy positions to eco-friendly ones AND to provide a better banking experience.

The general stack is a NextJS API and static front end with React native applications. We have developpers working on the static front, the applications and some parts of the backend. Half of the NextJS backend is a proxy to our providers for banking and money management services. We need you to work on that half! With time, you will be able to switch to other parts of the stack.

You have worked for at least a couple of years with TypeScript on the backend. You know how to write clean and well tested code. You want to make all your code dead simple to read. Experience with the banking or payment industry is a plus. You don't need to be a degrowther vegan but you must have a certain sensitivity to climate issues.

You can work from wherever you want, whenever you want, as long as you deliver. We intend to build a long-term relationship with our employees. So, the best candidate would be a french national that we can hire under french law for long term contracts. But we are open to international candidates on a C2C invoicing relationship. Being not too far from Paris time is a plus.

The budget for this position is 4500€ per month, 54000€ per year (this is $65k in USD). The end net salary will depend on the taxes in the country you live in. It may be half this amount.

To apply : https://github.com/green-got/exercise

We are building a bank application with current & saving accounts, money management, wire transfers, and card management. We are launching on the French market at the start but the next step is to go global. Draft here : https://green-got.com/

The endgame is to offer a solution that will reduce the carbon footprint of our clients by redirecting their money from carbon-heavy positions to eco-friendly ones AND to provide a better banking experience.

We are building a NextJS API and static front end and react native applications. The NextJS backend is mostly a proxy to our providers for banking and money management services. Connecting our backend and those services, and test that connection would be your most important task.

You have worked for at least a couple of years with TypeScript on the backend. You know how to write clean and well tested code. You want to make all your code dead simple to read. Experience with the banking or payment industry is a big plus. You don't need to be a degrowther vegan but you must have a certain sensitivity to climate issues.

You can work from wherever you want, when you want, as long as you deliver. We intend to build a long-term relationship with our employees. So, the best candidate would be a french national that we can hire under french law for long term contracts. But we are open to international candidates on a C2C invoicing relationship. Being not too far from Paris time is a plus.

The budget for this position is 3500 euros per month, 42000 euros per year ($51k). The end net salary will depend on the country you live in.

To apply, see the exercise here : https://github.com/green-got/exercise

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...