Kong VS sourcegraph

Kong: A cloud-native, fast, scalable, and distributed Microservice Abstraction Layer (also known as an API Gateway or API Middleware). Made available as an open-source project in 2015, its core functionality is written in Lua and it runs on the nginx web server.

OPeNsOuRcE. Good time to switch to Kong, better option anyways.

Sounds like you want an API gateway? What about Kong?

Unquestionably no, Kong is "OpenResty plus a management plane" and they're Apache 2: https://github.com/kong/kong#license

Kong (https://konghq.com) | Gateway Senior Engineer | REMOTE Europe | Full-time

The Kong Gateway is an API Management solution, which serves as a foundation for many other solutions by the company. The business model is open-core: an Open Source solution exists (https://github.com/kong/kong), and there's an Enterprise version with more features and dedicated support.

The tech stack is a modified Openresty with of Lua code on top. The ideal candidate would be someone who is already familiar with Kong. Alternatively, if you are familiar with Openresty or other API management solution, we also would love to talk with you.

I am personally interested in finding people to join me in the European Gateway Team. The role involves adding features, fixing bugs, and collaborating with other teams. Here's that position:

https://jobs.lever.co/kong/c1a2b204-45a8-4c19-9cd4-d9824a778...

We have many projects and many teams all around the world (current headcount is ~450), using other technologies like Node in the Kong Manager or Go in the Koko project, and we are constantly looking for people. Please visit our careers page to find out more!

https://konghq.com/careers/

Kong Gateway allows the complexity of service-tier APIs to be reduced to a collection of endpoints (or URIs) focused on meeting a collection of business needs and functionality. Often-duplicated components (like authentication, logging, and security) are handled by the gateway and can be removed from the service-tier design.

I am seeing different companies taking different approach. I am not sure anymore where each should be actually used. On top of that tech like Kong make me question whether API Gateway should be one thing for all. Some perspective into this would be really appreciated.

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...