AI-Powered DNS for TXT Queries!
This is a submission for the GitHub Copilot Challenge : New Beginnings What I Built It is a DNS server that can use the LM model to answer user queries. Feature: Save bandwidth as it is just a DNS call. Directly call the LLM model using the terminal. How does it work? Send a TXT record to the DNS server. The subdomain contains the question to be asked by LLM. LLM answers the query the result is sent back to the user. Demo Repo https://github.com/AuenKr/dns-ai Copilot Experience I normally use JavaScript for development purposes. But to know more about Copilot I decide to write this project in Golang. I prompt the Copilot on what I want to create, the logic part. It converts it into the go-lang language. I was amazed that I was able to create this project even though I didn't know Go Lang. GitHub Models Generating code based on Comments I write. While debugging the code. When some error occurs, to better understand why it occurs. Conclusion This is a fun project for me. I was thinking of doing this project for a long time. This project is inspired by https://github.com/knadh/dns.toys.
This is a submission for the GitHub Copilot Challenge : New Beginnings
What I Built
It is a DNS server that can use the LM model to answer user queries.
Feature:
- Save bandwidth as it is just a DNS call.
- Directly call the LLM model using the terminal.
How does it work?
Send a TXT record to the DNS server. The subdomain contains the question to be asked by LLM. LLM answers the query the result is sent back to the user.
Demo
Repo
https://github.com/AuenKr/dns-ai
Copilot Experience
I normally use JavaScript for development purposes. But to know more about Copilot I decide to write this project in Golang.
I prompt the Copilot on what I want to create, the logic part. It converts it into the go-lang language.
I was amazed that I was able to create this project even though I didn't know Go Lang.
GitHub Models
- Generating code based on Comments I write.
- While debugging the code. When some error occurs, to better understand why it occurs.
Conclusion
This is a fun project for me.
I was thinking of doing this project for a long time. This project is inspired by https://github.com/knadh/dns.toys.
