GitHub Copilot CLI: Slash Commands Explained

GitHub Copilot CLI enhances developer control with new slash commands for managing AI sessions, models, and context directly from the terminal.

Daniel Singer

Editor, StartupHub.ai

Jun 15 at 9:01 PMUpdated Aug 22, 20263 min read

Developer using GitHub Copilot CLI on a laptop with code on screen. — GitHub Copilot CLI's slash commands offer enhanced control for developers.· Github Blog

Visual TL;DR

Copilot CLI EnhancementsDriver

new slash commands for terminal control

From the article 6 mentionsFurther enhancements to GitHub Copilot CLI and its integration with tools like language servers, as seen in the recent update on Copilot CLI Gains Smarts with LSP, continue to position it as a leading platform for developers seeking to leverage advanced AI capabilities.

Slash Commands InterfaceCore

typing '/' reveals scrollable command list

From the article 3 mentionsThese commands are the primary interface for controlling the CLI’s operations.

Command CenterContext

terminal becomes control panel for AI assistant

From the article 9 mentionsA recent update details the integration of slash commands, transforming the command line into a sophisticated control panel for your AI coding partner.

Optimize Model SelectionEffect

switch AI models using /model command

Manage ContextEffect

control AI's understanding of code sessions

From the article 5 mentionsAs outlined on the GitHub Blog, these commands act as built-in controls, allowing users to guide Copilot’s behavior, inspect changes, manage context, and navigate sessions seamlessly.

Inspect CodeEffect

navigate and understand AI-generated changes

From the article 3 mentionsGitHub Copilot CLI is evolving beyond simple code suggestions.

Tool PermissionsEffect

control access to external tools

From the article 5 mentionsUsers can manage the permissions granted to Copilot CLI, such as file editing capabilities.

Developer ControlOutcome

more direct and efficient AI workflow management

From the article 7 mentionsThis evolution of GitHub Copilot CLI empowers developers with greater control and efficiency, making the AI coding assistant a more integrated and responsive tool in their daily workflow.

Contents(5)

GitHub Copilot CLI is evolving beyond simple code suggestions. A recent update details the integration of slash commands, transforming the command line into a sophisticated control panel for your AI coding partner. This move offers developers more direct and efficient ways to manage their AI-assisted workflows directly within the terminal.

As outlined on the GitHub Blog, these commands act as built-in controls, allowing users to guide Copilot’s behavior, inspect changes, manage context, and navigate sessions seamlessly. Typing '/' in the CLI presents a scrollable list of all available commands.

Command Center for Your AI Assistant

The introduction of GitHub Copilot CLI slash commands signifies a significant step in making AI coding tools more interactive and manageable. These commands are the primary interface for controlling the CLI’s operations.

Optimizing Model Selection

Developers can now switch between different AI models using the /model command. This feature highlights key details for each model, including their capabilities, availability, and cost multipliers, enabling users to select the most suitable model for specific tasks like refactoring or complex planning.

Context and Session Management

Maintaining awareness of the AI’s working memory is crucial. The /context command displays current token usage, system usage, and available buffer. When space is limited, /compact summarizes the conversation to free up memory, allowing work to continue without starting a new session. For a complete reset, /clear purges the entire session.

Resuming past work is simplified with /resume, which lists previous local and remote sessions, letting developers pick up where they left off.

Inspecting and Navigating Code

Understanding changes made by the AI is facilitated by the /diff command, which shows recent updates for validation. To work across different codebases or directories without exiting the CLI, /cwd allows users to change the current working directory, scoping Copilot’s actions effectively.

Tool Permission Control

Users can manage the permissions granted to Copilot CLI, such as file editing capabilities. Running /reset-allowed-tools resets these permissions, offering enhanced security when working in sensitive repositories.

This evolution of GitHub Copilot CLI empowers developers with greater control and efficiency, making the AI coding assistant a more integrated and responsive tool in their daily workflow. The ability to manage models, context, and sessions directly from the command line streamlines complex tasks and enhances productivity.

Further enhancements to GitHub Copilot CLI and its integration with tools like language servers, as seen in the recent update on Copilot CLI Gains Smarts with LSP, continue to position it as a leading platform for developers seeking to leverage advanced AI capabilities. This makes it a key player among the AI Code Assistants.

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#GitHub Copilot CLI #Slash Commands #AI #Developer Tools #Command Line Interface #GitHub

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.