Digital Shelf

It’s more of a personal collection—random things I come across, resources worth remembering, and thoughts I might want to come back to later. Just a place to keep track of it all.

Github Copilot - Management

GitHub Copilot offers different plans based on who is using it : Free / Pro → Individuals Business → Teams (adds control + security) Enterprise → Large orgs (adds customization + deep integration) Management Features (Core Exam Area) Feature Free / Pro Business Enterprise Public code filter Yes Yes Yes User management No Yes Yes Data excluded from training No Yes Yes Enterprise security No Yes Yes IP indemnity No Yes Yes Content exclusions No Yes Yes SAML SSO No Yes Yes Usage

Mar 245 min read

Github Copilot - Advanced Features

Advanced GitHub Copilot Features The Basics: Copilot suggestions appear as ghost text Accept suggestion with Tab Uses open files as context by default Prompts can be given through: Comments Chat panel Inline chat Chatting with Copilot: Use the chat panel in VS Code Ask: Code questions Software-related questions Good for interactive discussions Inline Chat: Use Copilot directly inside code Shortcut: Ctrl+I on Windows Command+I on Mac Helps without leaving the editor Slash C

Mar 242 min read

Github Copilot - Across Environments

Code Completion with GitHub Copilot Supported Languages (High Priority): Python JavaScript Java TypeScript Ruby Go C# C++ Note: Also supports many other languages, but above are strongest. Auto Suggestions (Ghost Text): Real-time suggestions while typing Can: Complete a line Generate full code blocks Actions: Accept → Tab Ignore → keep typing Saves time on: Syntax Logic Repetitive code Multiple Suggestions Pane: Shows alternative solutions Navigate: Windows/Linux → Alt + ] /

Mar 243 min read

GitHub Copilot - Notes: Spaces

Exercise: https://github.com/skills/scale-institutional-knowledge-using-copilot-spaces What is Copilot Spaces: A dedicated Copilot chat with curated context Uses selected: Files Issues Pull requests Custom instructions More focused than general Copilot Chat Key Difference vs Copilot Chat: Copilot Chat → broad, general suggestions Spaces → focused, context-driven responses Why Spaces Improve Quality: Narrow context → more accurate and consistent answers Better for repeatable a

Mar 233 min read

Guthub Copilot - Notes: Prompt Engineering

What is Prompt Engineering: Process of writing clear instructions for AI (Copilot) Ensures generated code is correct, relevant, and useful 4 Core Principles (4 Ss): Single → focus on one task Specific → give clear, detailed instructions Short → keep prompts concise Surround → provide context (files, comments, open tabs) Best Practices: Be clear and explicit Provide context using comments or related files Use examples to guide output Iterate: Refine prompt instead of rewriting

Mar 233 min read

GitHub Copilot - Notes: Part 1

Exercise: https://github.com/skills/getting-started-with-github-copilot Mitigating AI Risks AI provides benefits (innovation, efficiency) but also introduces risks Main Risks: Lack of transparency → AI decisions are difficult to understand Bias and harmful outcomes → unfair decisions, privacy issues Risk Mitigation: Governance frameworks → establish rules and policies for AI use Transparency → ensure AI systems are explainable Human oversight → humans monitor and guide AI dec

Mar 233 min read