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Kiro

Kiro

RISING

An agentic IDE that brings engineering rigor to AI development with spec-driven workflows.

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Product memo

Developers and teams building with AI use Kiro to bridge the gap between raw AI coding and production-ready software. It manages intent, completes long-running tasks across large codebases, and validates code correctness. The platform offers an agentic IDE, spec-driven development, and custom AI agents, ensuring AI-generated code meets engineering standards.

For who

Developers and teams building with AI

Solves what

Bridges AI coding to engineering with spec-driven development and custom agents.

  • Spec-driven development
  • Agentic IDE
  • Custom AI agents
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In their own words

Bring engineering rigor to agentic development

Kiro helps you bridge the gap from AI coding to engineering: manage intent, complete long-running tasks across large codebases, validate code correctness with an agent that learns how you work.

Commercial cues

Pricing snapshot free only with free tier

Model

free only

Free tier

Yes

Trial

Available

No public pricing tiers captured.

Pricing Strategy

Kiro offers a free tier, with Individuals handled through custom pricing.

Key Tactics
  • • A free tier removes friction for individual developers to test AI coding.
  • • Pay-as-you-go credits let individuals scale usage without upfront commitment.
  • • Custom team plans address the varied needs of larger engineering organizations.

Operator context

Founded

Jul 2025

Platform

Web app

Audience

Developers

Public footprint

X (Twitter) twitter.com/kirodotdev LinkedIn linkedin.com/showcase/kirodotdev GitHub github.com/kirodotdev/Kiro

+4 more footprint links

Tech stack

Radix UIAmazon Web Services

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Small Team
About Kiro Expand

Kiro provides an agentic IDE designed for developers and teams building with AI. It helps bridge the gap from AI coding to engineering by focusing on spec-driven development and custom AI agents.

This platform allows users to manage intent, complete long-running tasks across large codebases, and validate code correctness with agents that learn how teams work. Kiro's approach centers on bringing engineering rigor to AI development, ensuring that AI-generated code meets production standards through structured workflows and codebase analysis.