Pricing Kiro

Bonisiwe Shabane
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pricing kiro

Assign the right paid plan to individual users Enterprise security and privacy controls SAML/SCIM SSO via AWS IAM Identity Center Assign the right paid plan to individual users SAML/SCIM SSO via AWS IAM Identity Center Kiro, the AI vibe coding IDE developed by AWS, recently unveiled its pricing plans.

Similar to its competitors, Kiro Pro starts at $20 and goes up to $200. However, Kiro's consumption calculation method is unique, categorizing AI usage into "vibe requests" and "spec requests." To understand the distinction between spec and vibe usage, one must first grasp some of the current best... Taking the popular Claude Code as an example, users initiate a new project using the /init command. This initialization generates a markdown file named CLAUDE.md. This file is a summary and instruction set generated by Claude after analyzing existing project files, and CLAUDE.md serves as a part of the context prompt, outlining the project's overall direction, environment, and rules. Similar functionalities have long existed in Cursor, albeit with a slightly different approach.

Cursor rules allow for more granular management, enabling users to adjust AI behavior under different circumstances through various rules, ensuring development aligns with user requirements. This subtitle might seem confusing. Haven't we always been advocating for demand-driven vibe coding? What's the difference now? In the software engineering process, whether waterfall or agile, user requirement documentation has always been the first step in software development. Traditional development involves Business Analysts (BAs) communicating with users to draft Product Requirement Documentation (PRD), which is then translated into Technical Specifications.

Within the agile framework, Product Owners communicate with users and stakeholders, writing User Stories. User Stories are generally closer to PRDs but are organized by user journeys, and then handed over to the technical team and scrum master to be converted into technical requirements. AI development tool Kiro announces new pricing with Auto intelligent agents: unified credits quotas, tiered billing by task complexity, and minimum 0.01 billing. Free, Pro, Pro+, and Power cover different strengths, and Auto default routing strikes a balance between cost and quality. It's free until the end of September, and you'll be billed on your chosen plan starting in October, helping your team put agentic coding on the cutting edge. 1.

Unified amount: a single credit pool, easier to control Kiro merges the quota of vibe and spec into a unified credits, and the keywords Kiro, credits, and agentic coding are clearer: any request is deducted from the same pool, and developers can intuitively... Paid tiers can enable overbilling to ensure that long tasks are continuously filed. 2. Price and quota: Free, Pro, Pro+, Power Kiro Free with 50 credits are suitable for trial; Kiro Pro 1000 credits per month; Kiro Pro+ 2000 credits per month; Kiro Power 10000 credits per month.

Paid plans support pay-as-you-go overage per credit, covering varying intensities from everyday coding to heavy agentic coding. Updated AWS has introduced new pricing for Kiro, its AI-driven coding tool, but unlike the pricing originally announced, the latest plans are "a wallet-wrecking tragedy," according to many of its users. "Kiro's spec-driven AI IDE is a gem," said open source PHP and Laravel engineer Antonio Ribeiro on GitHub, "until I saw your new pricing." AWS introduced Kiro last month as a fork of Code OSS (also used by Visual Studio Code) with a distinctive approach to AI coding assistance, based on specifications and tasks. "Coming soon" pricing was shown from the start, and looked reasonable, as we reported in our initial hands-on. There were three plans, with free offering 50 interactions per month, Pro at $19.00 per user/month with 1,000 interactions, and Pro+ at $39.00 with 3,000 interactions.

Additional interactions were to be $0.04 each. Kiro proved immediately popular. A waitlist was introduced and the pricing disappeared. Last week, new pricing was announced, and to nobody's surprise it is less generous. .css-1mniedq{color:inherit;font-weight:inherit;font-size:inherit;font-family:inherit;line-height:inherit;}[The content of this article has been produced by our advertising partner.] AWS has officially rolled out Kiro, its AI-enabled programming platform designed around spec-driven development, marking the end of its preview period and expanding access globally.

Alongside general availability, AWS has launched a Kiro Startup Credits Program, offering eligible early-stage to Series B companies up to one year of complimentary Kiro Pro+ usage through the AWS Startups network. Since launching its preview in July 2025, Kiro has attracted more than 250,000 developers worldwide. The platform introduces spec-driven development — a structured framework that allows developers to plan, generate, and validate code through intelligent AI agents. Kiro’s latest release adds several advanced functions, including: The platform now integrates with the AWS IAM Identity Center, allowing companies to manage billing, user permissions, and security from a central console. Amazon Web Services (AWS) has introduced Kiro, a new tool designed to formalize “vibe coding”—the process of generating custom code by interacting with an AI chatbot.

Traditional vibe coding involves iterative prompts to an AI until the developer is satisfied with the output. However, this method is often unstructured and can be inefficient. A recent study found that vibe coding increased task completion time for experienced software engineers by 19%. Kiro aims to bring professionalism and structure by beginning with project planning. Developers enter detailed specifications for each project component, and Kiro helps generate code that meets those precise requirements. The creators of Kiro, Nikhil Swaminathan and Deepak Singh from AWS, describe the experience as more than just “prompt, prompt, prompt” magic.

Kiro generates a technical design document from your specifications and codebase, ensuring all decisions and assumptions are clearly documented. While coding, an AI agent acts like an “experienced developer,” catching mistakes and handling routine tasks. After completion, Kiro runs quality checks to maintain code integrity. On September 16, Amazon Web Services (AWS) announced that the AI programming tool Kiro will remain free until September 30, and will officially transition to a paid subion model starting October 1. From October 1, Kiro will begin charging based on the plan chosen by developers. The new plan eliminates the separate quotas for 'vibe' and 'spec' tasks.

All requests will be deducted uniformly from a single Credit pool, allowing developers to use Kiro freely according to their needs. Home \ News \ Amazon’s AWS Unveils Kiro, an AI Coding Tool That Automates Documentation Amazon Web Services (AWS) is diving headfirst into the AI coding revolution with Kiro, a new integrated development environment (IDE) launched in preview on July 14, 2025. Unlike traditional AI coding assistants that churn out code on demand, Kiro focuses on the groundwork, automatically generating and updating project plans, technical specs, and task lists. Pronounced “keer-oh,” this tool aims to streamline software development, and AWS CEO Andy Jassy says it “has a chance to transform how developers build software.”

Available for free during its preview at kiro.dev, Kiro will soon roll out three pricing tiers, starting at $19 per month. Here’s why it’s making waves. Kiro stands out by tackling the messy, often overlooked parts of software development. While tools like Amazon’s Q Developer or GitHub Copilot excel at code completion, Kiro’s AI agents take a broader approach. They break down developer prompts into structured components, requirements, design documents, and to-do lists, before a single line of code is written. As projects evolve, Kiro’s agents automatically update these materials, run checks for inconsistencies, and flag potential issues when files are saved.

This focus on documentation and planning aims to bridge the gap between rapid AI-generated prototypes and production-ready software.

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