The terminal is becoming an essential tool for aspiring AI engineers and software developers. GitHub Copilot CLI integrates an AI agent directly into the command line, offering powerful slash commands for advanced functionality beyond simple Q&A. Mastering these commands transforms Copilot CLI from a chatbot into a valuable pair programmer, crucial for modern industry expectations. Employers now expect graduates to be proficient with AI developer tools, and early adoption provides advantages in speed and good development habits. Slash commands are accessed by typing a forward slash at the Copilot CLI prompt, triggering an autocomplete menu. Key shortcuts include /help for quick assistance, @ for file references, # for GitHub issues, and ! for raw shell commands. For learning and planning, /plan helps create code roadmaps, /research provides in-depth investigations, /ask allows for side questions without cluttering history, and /model lets you select AI models for specific tasks. Commands like /diff review changes, /review provides automated code feedback, and /security-review checks for vulnerabilities, all mimicking professional workflows. Session management commands such as /resume, /context, /compact, and /undo help maintain workflow continuity and enable fearless experimentation. Environment setup is enhanced by /init for repository instructions, /mcp for server configuration, /agent for specialized task selection, and /memory for preference management. A typical student workflow involves planning, coding, diffing changes, reviewing, checking security, and undoing errors if necessary, mirroring professional team cycles. It is vital to learn with AI as an accelerator, not a replacement, by understanding explanations, complying with policies, avoiding secrets, and verifying AI outputs. Ultimately, slash commands unlock Copilot CLI's potential as a development partner, fostering professional habits and a deeper understanding of AI systems.