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Hooks in KIRO: How to Automate Repetitive Tasks with Smart Triggers

Hooks in KIRO: How to Automate Repetitive Tasks with Smart Triggers

How many times a day do you ask the agent to run linting, generate tests, or update documentation? If the answer is “many,” then Kiro’s agent hooks are for you. Instead of repeating these requests manually, you define a rule once and Kiro handles the rest automatically and consistently. In this post, we’ll explore what hooks are, how they work, the types of available triggers, and how to create your own from scratch.

Full-stack developer, GenAI engineer, and open-source builder.
How many times a day do you ask the agent to run linting, generate tests, or update documentation? If the answer is “many,” then Kiro’s agent hooks are for you. Instead of repeating these requests manually, you define a rule once and Kiro handles the rest automatically and consistently. In this post, we’ll explore what hooks are, how they work, the types of available triggers, and how to create your own from scratch.

What are agent hooks?

Agent hooks are automatic triggers that execute a predefined action—either an agent prompt or a shell command—when a specific event occurs in your IDE.
The system works in two steps:
Event detection: Kiro continuously monitors events such as saving a file, completing a task, or invoking a tool.
Action execution: When the event occurs, the configured action is automatically triggered.
This transforms how you work. With properly configured hooks you can:
  • Maintain consistent code quality effortlessly
  • Prevent security vulnerabilities as you code
  • Reduce cognitive load for the team
  • Standardize processes without relying on memory
  • Create faster and more predictable development cycles

The two types of actions

Before triggers, it’s important to understand what a hook can do when activated:

1. Agent Prompt (Ask Kiro)

Defines a natural language prompt sent to the agent each time the hook triggers. The agent responds like it would in chat.
⚠️ Note: This consumes credits since it starts a new agent cycle.

2. Shell Command (Run Command)

Executes a local command on your machine.
  • If it succeeds (exit code 0), output is added to agent context
  • If it fails, the error is sent as a notification
Shell commands are faster and do not consume credits, making them ideal for deterministic tasks.

The 10 available trigger types

Kiro offers multiple triggers across the development lifecycle:

Prompt Submit

Triggers when a prompt is sent to the agent.

Agent Stop

Triggers when the agent finishes responding.

Pre Tool Use

Runs before a tool is invoked (read, write, shell, web, etc.).

Post Tool Use

Runs after a tool is executed.

File Create

Triggers when a new file is created.

File Save

Triggers whenever a file is saved (most commonly used).

File Delete

Triggers when a file is deleted.

Pre Task Execution

Runs before a spec task starts.

Post Task Execution

Runs after a spec task completes.

Manual Trigger

Runs manually on demand.

Three real-world use cases

1. Automatic translation sync

When saving translation files, updates all language files, marks missing keys, and generates a summary of required translations.

2. Test coverage maintainer

On file save, detects changes, generates missing tests, runs them, and updates coverage reports.

3. On-demand documentation generator

Generates full documentation, usage examples, and updates README automatically.

How to create your first hook

You can create hooks in two ways:

Option A: Natural language (recommended)

  1. Go to Agent Hooks panel
  2. Click “+”
  3. Select “Ask Kiro to create a hook”
  4. Describe what you want
  5. Save the generated configuration

Option B: Manual setup

Define:
  • Title
  • Description
  • Event type
  • Tool/file pattern
  • Action (Prompt or Command)

Managing hooks

  • Enable/disable without deleting
  • Edit anytime
  • Delete when no longer needed
  • Run manually for manual triggers

Best practices

  • One hook = one responsibility
  • Use clear instructions
  • Start with limited scope
  • Prefer shell commands for performance
  • Save hooks in version control
  • Remove unused hooks

Hooks + MCP (advanced)

Hooks become more powerful with MCP integration, allowing interaction with external tools like:
  • Figma design systems
  • Jira / Asana
  • Databases
  • External APIs

Final thought

Agent hooks turn repetitive development work into automated workflows. Start small—like auto-lint on file save—and expand from there.
Any opinions in this article are those of the individual author and may not reflect the opinions of AWS.
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