Application for Kapa Open Source Program – Meshery

[Naman Verma]

Dear Team Kapa,

I, Naman Verma, would like to reach out on behalf of the Meshery to apply for the Kapa Open Source Program. We are excited about the opportunity to integrate an AI Assistant that will help our community and contributors move ahead more effectively while delivering a better user experience.

Project Name and Website URL
Meshery – https://meshery.io

Brief Description and Impact
Meshery is the open-source, cloud-native manager that enables the adoption, operation, and management of Kubernetes, service meshes, and their workloads. It provides lifecycle, performance, and configuration management across a wide array, empowering developers and operators to improve the resilience, observability, and efficiency of their infrastructure.

With its extensible framework and strong contributor base Meshery is the 9th fastest-growing CNCF project and supports 380+ built-in integrations for cloud-native infrastructure and applications.

GitHub Repository Link
https://github.com/meshery/meshery

Planned Deployment of Kapa
We plan to integrate Kapa to enhance both the user and contributor experience through:

1. A potential Slack integration to provide community members with real-time help and onboarding support.

Meshery Slack Channel : https://slack.meshery.io/

2. An AI-powered assistant in Meshery documentation

We believe Kapa will strengthen community engagement, streamline contributor onboarding, and improve user adoption of Meshery.

Thank you for considering our application. I look forward to your response on behalf of the Meshery community.

Best regards,
Naman Verma
Meshery

[Anton Malling]

Hi Naman,

Awesome to see you reach out! I'm Anton from the kapa.ai team, I handle all our OSS partnerships 👋

We are already working with a handful of cool CNCF projects like Envoy Gateway and Otel, would love to explore a use-case for you folks as well on our OSS tier.

For getting us started:

1. I'll get a kapa instance set up for you. For sources to index, anything else than below that would make sense to start with?:
   
   1. All docs: https://docs.meshery.io/
      
   2. Closed GitHub Issues from the last year: https://github.com/meshery/meshery/issues
      
   3. GitHub Files: https://github.com/meshery/meshery
      
2. Once ingested (expecting about 24 hours) i'll set up a nice demo for you to test out the answer quality, get access to the analytics platform and get a feel for the product!
   
3. Then I suggest grabbing 20min to talk through all things deployments, and I can work with you to get kapa live after testing
   

Let me know on the sources and we can get started on the set up!

Best,
Anton Malling

[Anton Malling]

Hi Naman,

Hope you are doing well!

Went ahead and set up a quick demo for you to test out here: https://demo.kapa.ai/widget/meshery

For now I ingested all the docs, GitHub files and the Issues as mentioned below! Would love to get your thoughts on the demo! Then I can go ahead and also add you to the analytics platform so you can have a play around in there, before discussing potential go-live!

Best,
Anton Malling

[Naman Verma]

The following is the reply from kapa ai to integrate their AI assistant for our slack and meshery documentation . 

They have shared a quick demo for us to test , please give your feedback on what you think about it .

[Mia Grenell]

Ian might have a perspective here.

- Lee

-- 
Visit and engage with the Meshery community in the forum at http://discuss.meshery.io or in Slack at https://slack.meshery.io.
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[Anton Malling]

Hi Naman, 

Hope you are doing well! 

Looks like a few questions came in on the widget! Super curious to hear your initial thoughts? 👇

Btw I just gave you access to the kapa platform shown above! You should be able to head to app.kapa.ai and sign in with your email, in case helpful here is a quick intro video! 

Best regards,

Anton Malling

Chief of Staff @ kapa.ai