kiro-tutorial

layout	title	nav_order	has_children	format_version
default	Kiro Tutorial	192	true	v2

Kiro Tutorial: Spec-Driven Agentic IDE from AWS

Learn how to use kirodotdev/Kiro for structured AI-powered development with spec-driven workflows, agent steering, event-driven automation, and AWS-native integrations.

Why This Track Matters

Kiro is AWS's agentic IDE built on VS Code and launched in July 2025. It introduces a structured, spec-driven development model where AI assistance is organized around requirements, design documents, and task lists rather than freeform chat.

This track focuses on:

• setting up Kiro and authenticating with GitHub, Google, or AWS Builder ID
• mastering the spec-driven development workflow using EARS syntax
• configuring agent steering and custom rules for repeatable AI behavior
• running autonomous agents for multi-step task delegation
• connecting external data sources with MCP and managing event-driven hooks
• governing multi-model strategy and team-scale deployment on AWS

Current Snapshot (auto-updated)

• repository: kirodotdev/Kiro
• stars: about 3.2k

Mental Model

flowchart LR
    A[Developer Intent] --> B[Spec Files: requirements, design, tasks]
    B --> C[Agent Steering: .kiro/steering/]
    C --> D[Autonomous Agent Execution]
    D --> E[Hooks and Automation Triggers]
    E --> F[MCP External Tool Integration]
    F --> G[AWS-Native Governance and Powers]

Loading

Chapter Guide

Chapter	Key Question	Outcome
01 - Getting Started	How do I download, authenticate, and start my first project?	Working Kiro baseline
02 - Spec-Driven Development Workflow	How do I use requirements, design, and task files effectively?	Repeatable spec workflow
03 - Agent Steering and Rules Configuration	How do I guide AI behavior with steering files and rules?	Consistent agent behavior
04 - Autonomous Agent Mode	How do I delegate multi-step tasks to autonomous agents?	Safe full-autonomy delegation
05 - MCP Integration and External Tools	How do I connect external data sources with MCP servers?	Extended tool capabilities
06 - Hooks and Automation	How do I trigger automation on file events and task completions?	Event-driven workflow automation
07 - Multi-Model Strategy and Providers	How do I configure Claude Sonnet and manage model routing?	Reliable model configuration
08 - Team Operations and Governance	How do I deploy Kiro at team scale with AWS governance?	Production-ready team operations

What You Will Learn

• how to install and authenticate Kiro on Mac, Windows, or Linux
• how the spec-driven workflow organizes AI assistance into structured documents
• how agent steering files shape repeatable, predictable AI behavior
• how to delegate multi-step tasks to autonomous agents with clear safety boundaries
• how MCP servers connect Kiro to external data sources and APIs
• how hooks enable event-driven automation on file saves, test results, and custom triggers
• how to configure Claude Sonnet 4.0 and 3.7 for different task profiles
• how to govern Kiro deployments at team scale using AWS IAM Autopilot and related powers

Source References

• Kiro Repository
• Kiro Website
• Kiro Docs
• Kiro Specs Guide
• Kiro Steering Guide
• Kiro Hooks Guide
• Kiro MCP Guide

Related Tutorials

• Cline Tutorial — agentic VS Code coding agent with terminal, browser, and MCP
• Roo Code Tutorial — multi-mode coding agents with checkpoints and approval flows
• OpenCode Tutorial — terminal-native coding agent with provider routing and tool safety
• OpenSpec Tutorial — spec-driven artifact workflow for planning and validation
• Claude Code Tutorial — Anthropic's CLI-native AI coding agent
• HAPI Tutorial — remote control and approval workflows for local coding agents
• Continue Tutorial — IDE-native AI coding assistant with deep context controls

---

Start with Chapter 1: Getting Started.

Navigation & Backlinks

• Start Here: Chapter 1: Getting Started
• Back to Main Catalog
• Browse A-Z Tutorial Directory
• Search by Intent
• Explore Category Hubs

Full Chapter Map

1. Chapter 1: Getting Started
2. Chapter 2: Spec-Driven Development Workflow
3. Chapter 3: Agent Steering and Rules Configuration
4. Chapter 4: Autonomous Agent Mode
5. Chapter 5: MCP Integration and External Tools
6. Chapter 6: Hooks and Automation
7. Chapter 7: Multi-Model Strategy and Providers
8. Chapter 8: Team Operations and Governance

Generated by AI Codebase Knowledge Builder