Copilot CLI Tutorial #5 - Context Management

Why It Matters

Providing explicit file or media context makes AI-assisted coding more accurate and efficient, reducing search and guesswork and speeding implementation. Understanding context-window limits is essential for scaling AI workflows and ensuring important information remains available to the model.

Summary

The tutorial explains how to use context in GitHub Copilot CLI to give the model specific files or media when issuing prompts by prefixing filenames with an @. The instructor demonstrates adding a component file to update localStorage with daily word-count objects and then attaching an image and data file to produce a chart that mirrors the supplied design, showing live updates when the form is submitted. He also highlights that multiple files can be attached as context and inspects the generated code to verify correct behavior. Finally, the video discusses context windows—how much information a model can hold, what counts toward that limit, and how tools like Copilot mitigate context loss in lengthy sessions.

Original Description

In this Copilot CLI tutorial, I'll show you how to adopt an AI-assisted development workflow using commands, skills, MCP servers, plan mode and custom agents.

🍿👇 Get early access to the whole course on NetNinja.dev

https://netninja.dev/p/copilot-cli-tutorial

🔥👇 Get access to ALL Masterclasses & premium courses with a Net Ninja Pro membership:

https://netninja.dev/p/net-ninja-pro/#prosignup

🔗👇 Get the Starter Project on GitHub:

https://github.com/iamshaunjp/WordSprint

🔗👇 Copilot CLI Docs:

https://docs.github.com/en/copilot/how-tos/copilot-cli

🔗👇 Model Comparison:

https://docs.github.com/en/copilot/reference/ai-models/model-comparison#recommended-models-by-task

🔗👇 Astro Crash Course:

https://www.youtube.com/watch?v=CF3drb6H3Yw&list=PL4cUxeGkcC9hXL99yOeCcUrdUee8u36s3