As a network engineer working closely with DevOps workflows, I kept running into the same problem:
We spend more time switching between tools than actually solving issues.
SSH session → logs → docs → AI tools → back to terminal.
So I asked myself:
Why isn’t the terminal itself intelligent?
That’s why I built NetCopilot.
An AI-native SSH, Telnet, and Serial client designed for network engineers and DevOps teams.
Instead of copying outputs into external tools, the AI is already inside your workflow.
What makes it different?
- Connect to real devices (Cisco, Juniper, Linux, etc.)
- Understand command outputs in real time
- Help diagnose issues like BGP failures, routing problems, or misconfigurations
- Suggest next steps without blindly executing anything
The goal isn’t automation.
It’s assistance without losing control.
Where this fits in DevOps
In many DevOps environments, networking is still one of the hardest layers to debug.
Pipelines fail, services can't connect, routes break — and suddenly you're jumping between multiple tools trying to understand what went wrong.
NetCopilot reduces that friction by bringing AI directly into the terminal, where the real work happens.
Example use case
You run:
show ip bgp summary
Instead of manually analyzing, you ask:
"Why is BGP down?"
The system reads the output and explains what's actually happening — in context.
Why I built this
Most AI tools today are generic.
But infrastructure work isn’t.
It requires understanding protocols, systems, and real-world troubleshooting.
I wanted something that feels like a real engineer sitting next to you.
Still early — need feedback
This is still in beta and actively evolving.
If you work in networking, DevOps, or infrastructure, I’d love to hear your thoughts.
What would make something like this actually useful in your daily workflow?
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