In this 5th video of our GitHub Copilot CLI series, we explore a powerful customization layer in GitHub Copilot CLI: Hooks. Think of hooks as strategic "plug-and-play" points in the AI’s workflow where you can inject your own custom shell commands or scripts.
Whether you need to enforce security standards, audit AI activity, or automate environment setup, hooks allow you to act as a gatekeeper for every interaction Copilot has with your terminal.
What you’ll learn:
The Concept of Hooks: Identifying the strategic points in an agent's workflow (start, end, pre-tool, post-tool).
Key Use Cases: Approving/denying tool executions, automated secret scanning to prevent credential leaks, and audit logging for compliance.
Types of Hooks: A breakdown of Session Start/End, User Prompt Submitted, Pre/Post Tool Use, and Error Occurred hooks.
Configuration & Format: How to set up your hooks.json file within the .github/hooks/ directory.
00:00 - Introduction to Hooks in Copilot CLI
00:32 - Real-world use cases: Security and Auditing
02:29 - Hook Types
05:20 - Understanding the hooks.json Format
06:51 - Conclusion and next steps
By mastering hooks, you can move from simply using AI to building a secure, automated development environment.
Reference: [https://docs.github.com/en/copilot/ho...]
Supporting github repository: [https://github.com/Amitbhave/learn-gh...]
Full GitHub Copilot CLI Playlist: [ • GitHub Copilot CLI: The Complete Mastery C... ]
Connect with me on LinkedIn: [ / amitbhave10 ]
#githubcopilot #CopilotCLI #aiprogramming #DeveloperTools #CodingProductivity #softwareengineering #techtutorial #ai #developerproductivity
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