AI Dispatch
agent · ai-coding-agents

Kiro vs Refact.ai

55 fields both were evaluated on, 29 of them different — including where one discloses something the other does not. Every value links to the document it came from. 26 further fields are disclosed by neither and are listed at the end rather than tabled.

Assurance

FieldKiroRefact.ai
Explainability·
By using specs, Kiro works alongside you to define requirements, system design, and tasks to be implemented before writing any code. This approach explicitly documents the reasoning and implementation decisions
kiro.dev · checked Aug 4, 2026
Completes task step-by-step with reasoning.
refact.ai · checked Aug 1, 2026
Permission scopes·
IAM and SSO authentication
Kiro offers IAM and SSO authentication
kiro.dev · checked Aug 4, 2026
Compliance certifications·
Built and operated by AWS, Kiro benefits from the same security, reliability, and privacy standards and controls trusted by millions of customers.
kiro.dev · checked Aug 4, 2026

Agency

FieldKiroRefact.ai
Autonomy level·
no public information
kiro.dev · checked Aug 4, 2026
Autonomous AI agent Delegate your coding tasks end-to-end Just describe what you need — Refact.ai Agent plans, executes, and deploys.
refact.ai · checked Aug 1, 2026
Human oversight·
no public information
kiro.dev · checked Aug 4, 2026
It works like another developer in your IDE, integrating with your codebase and stack, while letting you preview and control the process.
refact.ai · checked Aug 1, 2026
Goal complexity·
turn prompts into executable specs, validate code correctness to find bugs unit tests miss, and build across large codebases with parallel agents that learn from every session
Kiro helps developers and teams do their best work: turn prompts into executable specs, validate code correctness to find bugs unit tests miss, and build across large codebases with parallel agents that learn from every session.
kiro.dev · checked Aug 4, 2026
Completes task step-by-step with reasoning.
refact.ai · checked Aug 1, 2026
Action space·
turn your prompts into requirements, architectural designs, and sequenced tasks , then implements them with parallel agents . Property-based tests catch the edge cases that pass unit tests but break in production
Kiro turns your prompts into requirements, architectural designs, and sequenced tasks , then implements them with parallel agents . Property-based tests catch the edge cases that pass unit tests but break in production.
kiro.dev · checked Aug 4, 2026
Refact.ai Agent accesses your resources and handles related operations autonomously, mimicking your workflow.
refact.ai · checked Aug 1, 2026
Operating environment·
Kiro works as an agent in the [IDE](/docs/), with a [CLI](/docs/cli/), or in a [web browser](/docs/web/).
kiro.dev · checked Aug 4, 2026

Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations

Runs inside the developer's IDE, working against their codebase and stack
It works like another developer in your IDE, integrating with your codebase and stack, while letting you preview and control the process.
refact.ai · checked Aug 1, 2026
Initiative·
Kiro is just more than code. Aside from just listening to prompts and doing things, it can actually work on tasks based on predefined triggers, making the development experience more efficient.
kiro.dev · checked Aug 4, 2026

Safety

FieldKiroRefact.ai
Data handling·
no public information
kiro.dev · checked Aug 4, 2026
On-premise deployment offered as the data-control option; no retention, training-use or deletion terms published on the page checked
On-premise deployment keeps your code private and fully under your control. It provides maximum security and complete data ownership.
refact.ai · checked Aug 1, 2026

Practicality

FieldKiroRefact.ai
Pricing model·
credit-based pricing model
Kiro offers a credit-based pricing model with no daily or weekly rate limits and pre-paid overages, so you can code without breaking your flow or getting a surprise bill.
kiro.dev · checked Aug 4, 2026
Price point·
$20 credit when you first sign up for a paid plan using social login or Builder ID ↗
kiro.dev · checked Aug 4, 2026
Pro From $10/month — for professional use
refact.ai · checked Aug 1, 2026
Availability·
no public information
kiro.dev · checked Aug 4, 2026
Hosted service being discontinued - the homepage carries a banner stating Refact Cloud is shutting down soon
Refact Cloud is shutting down soon
refact.ai · checked Aug 1, 2026
Deployment options·
Kiro works as an agent in the [IDE](/docs/), with a [CLI](/docs/cli/), or in a [web browser](/docs/web/).
kiro.dev · checked Aug 4, 2026

Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations

Support model·
no public information
kiro.dev · checked Aug 4, 2026
"Priority support and onboarding" named as a paid-tier feature; no response times or remedies published
Priority support and onboarding
refact.ai · checked Aug 1, 2026

Foundation models

FieldKiroRefact.ai
Base models·
Anthropic Claude, open-weight models, or Auto , which picks the best model for the task based on complexity, factoring in model quality, latency, and cost.
Choose the best model for every task: Anthropic Claude, open-weight models, or Auto , which picks the best model for the task based on complexity, factoring in model quality, latency, and cost.
kiro.dev · checked Aug 4, 2026
Powered by Qwen2.5-Coder model and Retrieval-augmented generation (RAG)
refact.ai · checked Aug 1, 2026
Model provider·
Anthropic Claude, open-weight models, or Auto , which picks the best model for the task based on complexity, factoring in model quality, latency, and cost.
Choose the best model for every task: Anthropic Claude, open-weight models, or Auto , which picks the best model for the task based on complexity, factoring in model quality, latency, and cost.
kiro.dev · checked Aug 4, 2026
Use Claude 4, GPT-4o, or GPT-4o mini with AI Agent or for chat queries. Bring your own key Connect your API key and use any LLM: Gemini, Grok, OpenAI, Deepseek, and others.
refact.ai · checked Aug 1, 2026
Model swappable·
Choose the best model for every task: Anthropic Claude, open-weight models, or Auto , which picks the best model for the task based on complexity, factoring in model quality, latency, and cost.
kiro.dev · checked Aug 4, 2026
Bring your own key Connect your API key and use any LLM: Gemini, Grok, OpenAI, Deepseek, and others.
refact.ai · checked Aug 1, 2026
Open weights·
open-weight models
Choose the best model for every task: Anthropic Claude, open-weight models, or Auto , which picks the best model for the task based on complexity, factoring in model quality, latency, and cost.
kiro.dev · checked Aug 4, 2026
Fine-tuning·
no public information
kiro.dev · checked Aug 4, 2026
Fine-tune LLMs Train AI on your stack to customize its behavior.
refact.ai · checked Aug 1, 2026

Ecosystem

FieldKiroRefact.ai
Protocols supported·
compatible with Agent Client Protocol (ACP) so you can bring it to your favorite tools. It supports AGENTS.md, Skills.md , and MCP .
The Kiro agent is compatible with Agent Client Protocol (ACP) so you can bring it to your favorite tools. It supports AGENTS.md, Skills.md , and MCP .
kiro.dev · checked Aug 4, 2026
Tool use·
pull context from tools like Figma or Terraform .
Catch bugs with property-based tests , or pull context from tools like Figma or Terraform .
kiro.dev · checked Aug 4, 2026
Refact.ai Agent accesses your resources and handles related operations autonomously, mimicking your workflow.
refact.ai · checked Aug 1, 2026
Multi-agent·
build across large codebases with parallel agents that learn from every session.
kiro.dev · checked Aug 4, 2026
Open source·
no public information
kiro.dev · checked Aug 4, 2026
Self-described as open source in the homepage headline; no licence named on the page checked
Your Open-Source, Autonomous AI Agent
refact.ai · checked Aug 1, 2026
Marketplace presence·
no public information
kiro.dev · checked Aug 4, 2026
Plugins published for VS Code, JetBrains IDEs (PyCharm, WebStorm, GoLand, IntelliJ, CLion), Visual Studio, Neovim and Sublime Text; several marked beta
Download Refact.ai plugins: VS Code JetBrains Visual Studio beta Neovim beta Sublime Text beta PyCharm WebStorm GoLand IntelliJ CLion
refact.ai · checked Aug 1, 2026

Impact

FieldKiroRefact.ai
User base·
Trusted by engineers worldwide
kiro.dev · checked Aug 4, 2026
Code agent trusted by thousands of developers
refact.ai · checked Aug 1, 2026
Deployment scale·
Kiro offers a credit-based pricing model with no daily or weekly rate limits and pre-paid overages, so you can code without breaking your flow or getting a surprise bill.
kiro.dev · checked Aug 4, 2026
Target sectors·
designing AWS Cloud and AI solutions with Terraform and Python
In my role designing AWS Cloud and AI solutions with Terraform and Python
kiro.dev · checked Aug 4, 2026
High-risk domains·
built a secure file sharing application from scratch. By simply sharing my requirements with Kiro, I was able to create a fully secure application that incorporates encryption and various security coding practices—no additional prompts needed.
In roughly two days, I built a secure file sharing application from scratch. By simply sharing my requirements with Kiro, I was able to create a fully secure application that incorporates encryption and various security coding practices—no additional prompts needed.
kiro.dev · checked Aug 4, 2026

Disclosed by neither

Both Kiro and Refact.ai publish nothing on these 26 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 26 identical table rows. Each is shown with its source check on the individual profiles.

  • Documented incidents
  • Integrations
  • Supported regions
  • Context window
  • API access
  • Safety evaluations
  • Red teaming
  • Safety policy
  • Usage restrictions
  • Model or system card
  • Incident reporting
  • Third-party evaluations
  • Insurance available
  • Insurance carriers
  • Coverage limits
  • Indemnification
  • Liability cap
  • Audit trail
  • Tamper-evident log
  • Runtime governance
  • Regulatory alignment
  • Outcome-based pricing
  • Settlement mechanism
  • Dispute process
  • SLA terms
  • Evaluation coverage

Questions

How do Kiro and Refact.ai compare on target sectors?
Kiro: designing AWS Cloud and AI solutions with Terraform and Python. Refact.ai: no public information disclosed.
How do Kiro and Refact.ai compare on high-risk domains?
Kiro: built a secure file sharing application from scratch. By simply sharing my requirements with Kiro, I was able to create a fully secure application that incorporates encryption and various security coding practices—no additional prompts needed.. Refact.ai: no public information disclosed.
How do Kiro and Refact.ai compare on pricing model?
Kiro: credit-based pricing model. Refact.ai: no public information disclosed.
How do Kiro and Refact.ai compare on availability?
Kiro: no public information disclosed. Refact.ai: Hosted service being discontinued - the homepage carries a banner stating Refact Cloud is shutting down soon.
How do Kiro and Refact.ai compare on support model?
Kiro: no public information disclosed. Refact.ai: "Priority support and onboarding" named as a paid-tier feature; no response times or remedies published.
How do Kiro and Refact.ai compare on open weights?
Kiro: open-weight models. Refact.ai: no public information disclosed.