Course Overview
This course provides a practical, beginner-friendly introduction to AWS Kiro, an AI-assisted coding platform that enhances software development workflows. It covers core Kiro capabilities including steering, specs, agent hooks, MCP servers, powers, and integration with GitHub, using a simple portfolio application for hands-on learning.
Students will learn how to plan, guide, automate, and improve development tasks with AI, gaining skills to use Kiro effectively in modern coding environments.
Key Takeaways
- Use AWS Kiro for AI-assisted coding and understand its development workflow differences.
- Apply steering and specs to structure projects and development tasks.
- Create agent hooks to automate workflows and respond to development events.
- Connect MCP servers and use powers to extend Kiro’s capabilities.
- Work with Kiro workflows for planning changes, fixing bugs, reviewing code, and generating documentation.
- Integrate Git and GitHub into AI-assisted development processes.
Prerequisites
- Basic knowledge of a code editor or IDE.
- Basic familiarity with HTML, CSS, and Git is helpful but not mandatory.
Target Learners
- Developers interested in AI-assisted software development.
- Students and beginners wanting to learn AWS Kiro from scratch.
- Software professionals exploring AI-native development workflows.
- Developers currently using AI coding tools seeking a more structured approach.
- Anyone curious about AI-assisted software planning, development, and maintenance.
- 1 Course welcome! 1:47
- 2 Course prerequisites 0:56
- 3 Course support 0:38
- 4 Thought process 1:27
- 1 What is AWS Kiro? - [Theory] 1:51
- 2 Create a GitHub account 1:49
- 3 Install and Setup Kiro - IDE 3:59
- 4 Setting up Git and Cloning in Kiro - IDE 3:57
- 5 Evaluating the Kiro-IDE Interface - [Theory] 0:54
- 6 Touring the Kiro - IDE - Part 1 6:30
- 7 Touring the Kiro - IDE - Part 2 4:51
- 1 Prompting effectively for AI-assisted coding - [Theory] 2:10
- 2 The concept of steering - [Theory] 1:15
- 3 Project creation and steering files 9:47
- 4 The concept of specs - [Theory] 1:51
- 5 Specs - Requirements - (Stage 1) 8:04
- 6 Specs - Design - (Stage 2) 5:46
- 7 Specs - Tasks - (Stage 3) 3:59
- 8 Evaluate our application's current state 2:06
- 9 Specs - Execute required tasks 9:21
- 10 Specs - Execute tasks - Elaborating on optional tasks 1:43
- 11 Specs - Execute optional tasks 4:54
- 1 The concept of Agent Hooks - [Theory] 0:54
- 2 Agent Hooks - Getting started 5:44
- 3 Agent Hook - Create and observe 5:34
- 4 Agent Hooks - Build your own 7:56
- 1 An overview of MCP - [Theory] 0:55
- 2 MCP - Connect to a knowledge server 8:47
- 1 Kiro - Code review improving prompt specificity 4:28
- 2 Kiro - Documentation improving prompt specificity 4:18
- 3 Kiro Plan - Plan a change 9:58
- 4 Kiro Bug Fix - Find and fix a bug 8:09
- 5 Kiro QuickSpec - Build a small feature 17:36
- 6 Kiro - Add context for faster workflows 4:03
- 7 Kiro - Publish your source code to GitHub 3:33
- 1 An overview of powers - [Theory] 1:15
- 2 Getting started with powers and adding Context7 3:49
- 3 Utilise Context7 with Kiro - Part 1 3:59
- 4 Utilise Context7 with Kiro - Part 2 4:12
- 1 Kiro - Pricing and plans 1:40
- 2 Kiro - Documentation reference 3:32
- 3 Kiro - What's next? 1:31
Access Files No pi required.
Free Course files 1 file package
- Udemy - Complete AWS Kiro Course: AI-Assisted Coding Masterclass
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