Hooks

Hooks in AI coding tools are event-driven callbacks that execute custom code when specific actions occur during an AI agent's workflow. They provide the critical control and observability layer that makes autonomous AI coding safe and practical. Without hooks, an AI agent operates as a black box; with hooks, you can see every action, enforce rules, and extend capabilities.

Claude Code implements a comprehensive hook system with several event types. PreToolUse hooks fire before the agent calls a tool (like reading a file or running a command), giving you the opportunity to inspect, modify, or block the action. PostToolUse hooks fire after a tool completes, letting you log results, trigger follow-up actions, or alert on specific outcomes. Stop hooks fire when the agent finishes its task, enabling cleanup, notification, or reporting workflows. Notification hooks capture status changes throughout the session.

Hooks serve multiple practical purposes in AI development workflows. Safety hooks can block dangerous operations: preventing file deletions outside the project directory, blocking commands that access production databases, or requiring confirmation before modifying critical configuration files. Monitoring hooks capture every agent action for audit trails, enabling teams to review exactly what an AI agent did during a coding session. Extension hooks add new capabilities: automatically formatting code after each edit, running linters after file changes, or syncing changes to a staging environment.

HiveOS uses hooks as the foundation of its entire monitoring and orchestration platform. By installing hooks into Claude Code sessions, HiveOS captures every event, streams them over WebSocket to the dashboard, and provides real-time visibility into what multiple agents are doing across your projects simultaneously.

Claude Code provides the most comprehensive hook system among AI coding tools, supporting PreToolUse, PostToolUse, Stop, and Notification hooks that can be configured per-project or globally. Hooks are defined in Claude Code's settings and can execute shell scripts, Node.js scripts, or any command-line program. This makes them extremely flexible for custom workflows.

Cline supports a permission system that functions similarly to hooks, requiring user approval before certain tool calls. Cursor does not expose hooks directly but offers settings to control which actions the AI can perform autonomously. Aider provides event callbacks that can be used for monitoring and logging. For tools without built-in hook systems, you can often achieve similar functionality by wrapping the tool's CLI in a script that captures and processes output.

What is Hooks?

Event-driven callbacks that execute custom code when specific actions occur in a system, enabling extensibility and monitoring.

Why is Hooks important in AI coding?

Hooks in AI coding tools are event-driven callbacks that execute custom code when specific actions occur during an AI agent's workflow. They provide the critical control and observability layer that makes autonomous AI coding safe and practical. Without hooks, an AI agent operates as a black box; with hooks, you can see every action, enforce rules, and extend capabilities. Claude Code implements a comprehensive hook system with several event types. PreToolUse hooks fire before the agent calls a tool (like reading a file or running a command), giving you the opportunity to inspect, modify, or block the action. PostToolUse hooks fire after a tool completes, letting you log results, trigger follow-up actions, or alert on specific outcomes. Stop hooks fire when the agent finishes its task, enabling cleanup, notification, or reporting workflows. Notification hooks capture status changes throughout the session. Hooks serve multiple practical purposes in AI development workflows. Safety hooks can block dangerous operations: preventing file deletions outside the project directory, blocking commands that access production databases, or requiring confirmation before modifying critical configuration files. Monitoring hooks capture every agent action for audit trails, enabling teams to review exactly what an AI agent did during a coding session. Extension hooks add new capabilities: automatically formatting code after each edit, running linters after file changes, or syncing changes to a staging environment. HiveOS uses hooks as the foundation of its entire monitoring and orchestration platform. By installing hooks into Claude Code sessions, HiveOS captures every event, streams them over WebSocket to the dashboard, and provides real-time visibility into what multiple agents are doing across your projects simultaneously.

How do I use Hooks effectively?

Install HiveOS hooks in Claude Code to get real-time monitoring of all agent activity without modifying your coding workflow Create a PreToolUse hook that blocks file modifications outside your project directory to prevent AI agents from accidentally editing system files Use PostToolUse hooks to automatically run your linter and formatter after every code edit, ensuring AI-generated code always matches your style