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Spec-Driven Development with AI. Kiro. GitHub Spec Kit.
Role Play
Rating: 4.5 out of 5(891 ratings)
5,118 students

Spec-Driven Development with AI. Kiro. GitHub Spec Kit.

Learn to use Spec-driven development as a source of truth for building APIs, parallel teamwork, and managing changes
Created bySergey Kargopolov
Last updated 7/2026
English
English [Auto],Spanish [Auto],

What you'll learn

  • Differentiate Spec-Driven Development from vibe coding
  • Build REST API using AI-assisted Spec-Driven Development
  • Use AI to create OpenAPI, Requirements, Technical Design, and Tasks.
  • Learn how to use Kiro IDE for Specification-Driven Development
  • Learn about the tools for Spec-Driven Development
  • GitHub Spec Kit

Course content

8 sections • 46 lectures • 3h 24m total length

  • Introduction & Resources3:02

    Learn spec-driven development with ai by creating an OpenAPI document for a rest api, validating it, generating requirements and a technical design, then deploying to Amazon Cloud for testing.

  • Different ways to create software4:58
  • Vibe-coding vs Spec-driven development2:01

    Compare webcoding and spec-driven development, showing how webcoding speeds small prototypes but risks messy large-scale code, while spec-driven development provides AI with a clear roadmap through requirements and design documents.

  • What if we need to make a change?2:24
  • Practice an Interview Question on Spec‑Driven Development

Requirements

  • This is a beginner-friendly guide, so you do not need to be an expert coder to begin
  • No Prior SDD Knowledge Needed:
  • Basic Understanding of the Software Development Process

Description

This course is designed to take advantage of artificial intelligence by using agentic IDEs and AI agents to build software. You will move beyond simple prompting and learn to manage AI by providing it with a structured plan, which is a critical skill for modern developers.

This beginner-friendly course teaches you how to use AI-assisted Spec-Driven Development (SDD) to create stable and predictable applications. You will learn this methodology through two powerful lenses: the built-in features of Kiro IDE and the open-source GitHub Spec Kit.

By the end of this course, you will be able to:

  • Differentiate SDD from vibe coding and code-first approaches.

  • Establish a source of truth by using specifications as the project's "boss".

  • Build a Users REST API starting with a professional OpenAPI document.

  • Generate architectural documents, including requirements, designs, and task lists.

  • Use GitHub Spec Kit CLI to manage the SDD workflow across different AI agents like Claude, Copilot, and Gemini.

  • Create a "Project Constitution" to enforce permanent coding standards and development rules.

  • Perform "unit tests for requirements" using the checklist command to catch gaps before coding starts.

  • Analyze project consistency to ensure your specifications, technical plans, and task lists always agree.

  • Manage feature changes safely by updating your plan before touching any code.

  • Enable parallel team development so multiple builders can work at the same time.

You will also learn the core concepts of API contracts and modern tools, including:

  • REST API structure, including endpoints and HTTP methods like GET and POST.

  • OpenAPI and GraphQL schemas and how they act as mandatory contracts.

  • OpenAPI for microservices, ensuring different services talk to each other correctly.

  • The GitHub Spec Kit command suite, including /specify, /plan, /tasks, and /implement.

  • Agentic tools like Kiro IDE and the Specify CLI for project initialization and agent switching.

If you are a beginner developer or an aspiring architect looking to replace "vibe-coding" with a professional, plan-first workflow, this course is for you.

If you have any questions about this course, please feel free to reach out to me and ask.

Who this course is for:

  • Aspiring developers and students interested in learning a professional, step-by-step method to build software using AI agents instead of just guessing prompts
  • AI-assisted coders interested in moving beyond "vibe-coding" to a more stable, structured, and predictable project workflow
  • Backend developers interested in creating REST APIs using OpenAPI documents as clear, mandatory contracts for their code
  • Technical builders interested in using modern, agentic tools like Kiro IDE or GitHub Spec Kit to manage complex application changes safely
  • Software engineers interested in learning how to use AI in spec-driven development process

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