This is a submission for the GitHub Copilot CLI Challenge

What I Built

I built a Test-NetConnection interactive assistant that runs continuous network checks to a target host, logs results, and provides both statistical summaries and AI-powered observations. The assistant supports background monitoring tasks, listing active jobs, and on-demand log analysis. It’s designed for quick, repeatable troubleshooting of latency spikes and packet loss without leaving the terminal.

Key features:

• /run <host> <minutes> <threshold_ms> starts a background monitoring task.
• /list shows active or completed background tasks.
• /analysis summarizes logs and uses GitHub Copilot to produce AI observations.
• JSONL logging for both raw events and alerts.

Demo

Run the assistant:

• python .\tnc_interactiveAssistant.py

Example session:

• Start a monitor: /run 8.8.8.8 1 120
• List tasks: /list
• Analyze logs with AI observations: /analysis

Demo video/screenshot: [Add link here]

My Experience with GitHub Copilot CLI

I used GitHub Copilot CLI to quickly iterate on command handling, background task orchestration, and the AI analysis flow. It helped me:

• Draft the command parsing and task management scaffolding.
• Refactor analysis logic into reusable prompt context builders.
• Improve robustness with error handling and clean output formatting.

It accelerated development while keeping the solution focused on a clean CLI experience.

Technologies

• Python 3.10+
• GitHub Copilot SDK
• Asyncio for Concurrency

Repository

Author

GitHub: @turbotmy