Amazon Kiro: Use cases and introduction
An in-depth and student first view of Amazon Kiro and its potential in helping students build with AWS.
What Is Kiro?
Kiro, launched by Amazon Web Services on July 14, 2025, is a specification-driven agentic integrated development environment that marks AWS's entry into the competitive AI-powered development space. It was introduced by Nikhil Swaminathan, Kiro's product lead, and Deepak Singh, Amazon's VP of Developer Experience and Agents.
Kiro works as a standalone agentic IDE or CLI. You can log in with GitHub, Google, AWS Builder ID, or AWS IAM Identity Center — you do not need an AWS account to use it. It is a VS Code fork aimed at taking developers beyond vibe coding and remedying some of its downsides.
Kiro supports a variety of programming languages including Python, Java, JavaScript, TypeScript, C#, Go, Rust, PHP, Ruby, Kotlin, C, C++, shell scripting, SQL, Scala, JSON, YAML, and HCL.
Kiro, launched by Amazon Web Services on July 14, 2025, is a specification-driven agentic integrated development environment that marks AWS's entry into the competitive AI-powered development space. It was introduced by Nikhil Swaminathan, Kiro's product lead, and Deepak Singh, Amazon's VP of Developer Experience and Agents.
Kiro works as a standalone agentic IDE or CLI. You can log in with GitHub, Google, AWS Builder ID, or AWS IAM Identity Center — you do not need an AWS account to use it. It is a VS Code fork aimed at taking developers beyond vibe coding and remedying some of its downsides.
Kiro supports a variety of programming languages including Python, Java, JavaScript, TypeScript, C#, Go, Rust, PHP, Ruby, Kotlin, C, C++, shell scripting, SQL, Scala, JSON, YAML, and HCL.
The Problem It Solves
Kiro's primary innovation is its spec-driven development methodology, which addresses the tension between rapid prototyping ("vibe coding") using natural language prompts and the need for structured, documented, production-ready systems that enterprises demand.
The vision, as described by the Kiro team, is "to solve the fundamental challenges that make building software products so difficult — from ensuring design alignment across teams and resolving conflicting requirements, to eliminating tech debt, bringing rigor to code reviews, and preserving institutional knowledge when senior engineers leave."
Developing with specs keeps the fun of vibe coding but fixes some of its limitations: vibe coding can require too much guidance on complex tasks or when building on top of large codebases, and it can misinterpret context. When implementing a task with vibe coding, it's difficult to keep track of all the decisions that were made along the way, and document them for your team.
Kiro's primary innovation is its spec-driven development methodology, which addresses the tension between rapid prototyping ("vibe coding") using natural language prompts and the need for structured, documented, production-ready systems that enterprises demand.
The vision, as described by the Kiro team, is "to solve the fundamental challenges that make building software products so difficult — from ensuring design alignment across teams and resolving conflicting requirements, to eliminating tech debt, bringing rigor to code reviews, and preserving institutional knowledge when senior engineers leave."
Developing with specs keeps the fun of vibe coding but fixes some of its limitations: vibe coding can require too much guidance on complex tasks or when building on top of large codebases, and it can misinterpret context. When implementing a task with vibe coding, it's difficult to keep track of all the decisions that were made along the way, and document them for your team.
Core Pillars
- Spec-Driven Development
Developers describe their requirements in natural language. Kiro outputs user stories with their acceptance criteria, a technical design document, and a list of coding tasks implementing the requirements. After review, developers may trigger the task implementation one step at a time.
Kiro unpacks requirements from a single prompt. Type "Add a review system for products" and it generates user stories for viewing, creating, filtering, and rating reviews. Each user story includes EARS (Easy Approach to Requirements Syntax) notation acceptance criteria covering edge cases developers typically handle when building from basic user stories.
Specifications are stored under .kiro/specs. By design, you should commit these specification files to the repo alongside the code. Over time, you can accumulate a large collection of specification documents that describe the intent and design behind the code. - Steering Files
Steering docs allow Kiro to understand a project beyond the current prompt. They store long-lived knowledge such as architecture decisions, coding standards, naming conventions, and domain rules. These documents are written in markdown and live alongside the codebase. Once defined, Kiro consistently uses them when generating code, reviewing changes, or performing automated tasks.
Steering files can be configured to load at different times based on your needs. The three modes are: always-on (loaded every session), auto (loaded when the request matches the file's description), and manual (triggered via slash command).
Kiro also supports the AGENTS.md standard to define guidelines, coding standards, and architectural patterns. You can add an AGENTS.md file to the global steering file location or to the root folder of your workspace, and it will get picked up automatically. - Agent Hooks
Agent hooks are powerful automation tools that streamline your development workflow by automatically executing predefined agent actions when specific events occur in your IDE. With hooks, you eliminate the need to manually request routine tasks and ensure consistency across your codebase.
Some examples of what hooks can do: when you save a React component, hooks update the test file. When you modify API endpoints, hooks refresh README files. When you're ready to commit, security hooks scan for leaked credentials.
Agent hooks are event-driven automations written in natural language. They're like GitHub Actions but for your local development environment, powered by AI.
Technical Foundation
Amazon Kiro is an AI-native IDE based on VS Code (Code OSS), developed by AWS and powered by Claude Sonnet 4.0 (with 3.7 as fallback). It's designed for seamless planning, execution, and orchestration of software development tasks, combining an intuitive interface with deep contextual understanding and built-in agentic workflows.
Beyond specs and hooks, Kiro includes Model Context Protocol (MCP) support for connecting specialized tools, steering rules to guide AI behavior across your project, and agentic chat for ad-hoc coding tasks with file, URL, and doc context providers. A later release expanded MCP capabilities with remote server support via Streamable HTTP, accessing cloud services and APIs without local installation, plus simplified MCP server setup with automatic installation.
Amazon Kiro is an AI-native IDE based on VS Code (Code OSS), developed by AWS and powered by Claude Sonnet 4.0 (with 3.7 as fallback). It's designed for seamless planning, execution, and orchestration of software development tasks, combining an intuitive interface with deep contextual understanding and built-in agentic workflows.
Beyond specs and hooks, Kiro includes Model Context Protocol (MCP) support for connecting specialized tools, steering rules to guide AI behavior across your project, and agentic chat for ad-hoc coding tasks with file, URL, and doc context providers. A later release expanded MCP capabilities with remote server support via Streamable HTTP, accessing cloud services and APIs without local installation, plus simplified MCP server setup with automatic installation.
How the Workflow Feels
Kiro's spec-driven development means you start by describing what you want — not with code, but with goals, user stories, or high-level requirements. The IDE then clarifies ambiguities by asking questions until the goal is crystal clear, generates specs by turning your intent into structured requirements and design docs, then creates and updates code as you accept specs — keeping specs and the final app always in sync.
In roughly two days, one developer built a secure file sharing application from scratch. By simply sharing requirements with Kiro, they were able to create a fully secure application that incorporates encryption and various security coding practices — no additional prompts needed.
One developer reported that writing a spec for a particular feature took two hours but saved two weeks of confusion. Following TDD meant that when adding new features, existing tests caught three bugs before the app was even run.
Kiro's spec-driven development means you start by describing what you want — not with code, but with goals, user stories, or high-level requirements. The IDE then clarifies ambiguities by asking questions until the goal is crystal clear, generates specs by turning your intent into structured requirements and design docs, then creates and updates code as you accept specs — keeping specs and the final app always in sync.
In roughly two days, one developer built a secure file sharing application from scratch. By simply sharing requirements with Kiro, they were able to create a fully secure application that incorporates encryption and various security coding practices — no additional prompts needed.
One developer reported that writing a spec for a particular feature took two hours but saved two weeks of confusion. Following TDD meant that when adding new features, existing tests caught three bugs before the app was even run.
Competitive Positioning
Kiro's launch positions AWS against established AI-powered development tools like Cursor and Windsurf. Unlike Amazon Q Developer, which is tightly coupled with AWS infrastructure, Kiro operates as a standalone, cloud-agnostic platform.
Kiro only uses Claude (no GPT), while Cursor supports GPT-4 and Claude. Kiro generates structured specs and tasks out of the box; Cursor requires setup. Kiro has long-context retention across sessions; Cursor sometimes forgets quickly. Cursor's workflow is flexible, but Kiro enforces discipline in planning.
Kiro's launch positions AWS against established AI-powered development tools like Cursor and Windsurf. Unlike Amazon Q Developer, which is tightly coupled with AWS infrastructure, Kiro operates as a standalone, cloud-agnostic platform.
Kiro only uses Claude (no GPT), while Cursor supports GPT-4 and Claude. Kiro generates structured specs and tasks out of the box; Cursor requires setup. Kiro has long-context retention across sessions; Cursor sometimes forgets quickly. Cursor's workflow is flexible, but Kiro enforces discipline in planning.
Pricing
The company offers three pricing tiers: a free version with 50 agent interactions per month; a Pro tier at $19 per user per month with 1,000 interactions; and a Pro+ tier at $39 per user per month with 3,000 interactions. Many users have expressed concerns about usage-based pricing models possibly leading to rapid consumption of interactions and high costs. Always verify current pricing before committing.
The company offers three pricing tiers: a free version with 50 agent interactions per month; a Pro tier at $19 per user per month with 1,000 interactions; and a Pro+ tier at $39 per user per month with 3,000 interactions. Many users have expressed concerns about usage-based pricing models possibly leading to rapid consumption of interactions and high costs. Always verify current pricing before committing.
Where I Used Kiro
I got my first real hands-on time with Kiro while building a landing page for my technology club on campus. I was relatively new to TypeScript at the time, so the goal wasn't to use every feature Kiro offers — I mostly leaned on its AI assistant to help me work through the parts of the code I wasn't confident in yet.
What stood out was how smooth the experience was. Rather than bouncing between documentation tabs and Stack Overflow trying to piece together TypeScript syntax, I could ask the assistant directly in context and get help that was actually relevant to what I was building. It didn't feel like talking to a generic chatbot — it understood the codebase I was working in.
The landing page itself was straightforward: something clean and functional that represented the organization well. But as I got more comfortable with the workflow, I found myself shipping newer features with noticeably improved efficiency. What might have taken me a full session to figure out on my own started moving faster as the assistant helped me bridge the gap between what I knew and what the project needed.
For someone newer to a language or framework, Kiro's assistant lowers the barrier in a way that feels genuinely useful rather than hand-holdy. It meets you where you are and in my case, that made a real difference in what I was able to ship.
If you're looking to improve your shipping efficiency, I highly recommend checking out Kiro.
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