AI Dispatch
agent · ai-coding-agents

Kiro vs Sweep AI

55 fields both were evaluated on, 27 of them different — including where one discloses something the other does not. Every value links to the document it came from. 28 further fields are disclosed by neither and are listed at the end rather than tabled.

Assurance

FieldKiroSweep 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
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
Regulatory alignment·
no public information
kiro.dev · checked Aug 4, 2026

Agency

FieldKiroSweep AI
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
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
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

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

FieldKiroSweep AI
Safety policy·
no public information
kiro.dev · checked Aug 4, 2026
Privacy-first Enterprise-ready with SOC 2 compliance and zero data retention.
sweep.dev · checked Aug 1, 2026
Data handling·
no public information
kiro.dev · checked Aug 4, 2026
No code is retained by third parties.
sweep.dev · checked Aug 1, 2026

Practicality

FieldKiroSweep 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
Availability·
no public information
kiro.dev · checked Aug 4, 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

Integrations·
no public information
kiro.dev · checked Aug 4, 2026
Works with all JetBrains IDEs IntelliJ IDEA, PyCharm, Android Studio, WebStorm, PhpStorm, Rider, and more.
sweep.dev · checked Aug 1, 2026

Foundation models

FieldKiroSweep 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
Sweep uses our own LLMs for unmatched price, performance, and security.
sweep.dev · 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
Sweep uses our own LLMs for unmatched price, performance, and security.
sweep.dev · 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
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

Ecosystem

FieldKiroSweep 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
Remote MCP Servers - Full OAuth 2.0/2.1 support
sweep.dev · checked Aug 1, 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
Web Search & Fetch Tools - Browse the web from Sweep
sweep.dev · checked Aug 1, 2026
Multi-agent·
build across large codebases with parallel agents that learn from every session.
kiro.dev · checked Aug 4, 2026
Marketplace presence·
no public information
kiro.dev · checked Aug 4, 2026

Impact

FieldKiroSweep AI
User base·
Trusted by engineers worldwide
kiro.dev · checked Aug 4, 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
Trusted every day by thousands of professional developers.
sweep.dev · checked Aug 1, 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
Trusted every day by thousands of professional developers.
sweep.dev · checked Aug 1, 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 Sweep AI publish nothing on these 28 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 28 identical table rows. Each is shown with its source check on the individual profiles.

  • Autonomy level
  • Human oversight
  • Documented incidents
  • Supported regions
  • Support model
  • Fine-tuning
  • Context window
  • API access
  • Open source
  • Safety evaluations
  • Red teaming
  • 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
  • Outcome-based pricing
  • Settlement mechanism
  • Dispute process
  • SLA terms
  • Evaluation coverage

Questions

How do Kiro and Sweep AI compare on goal complexity?
Kiro: 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. Sweep AI: no public information disclosed.
How do Kiro and Sweep AI compare on action space?
Kiro: 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. Sweep AI: no public information disclosed.
How do Kiro and Sweep 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.. Sweep AI: no public information disclosed.
How do Kiro and Sweep AI compare on open weights?
Kiro: open-weight models. Sweep AI: no public information disclosed.
How do Kiro and Sweep AI compare on permission scopes?
Kiro: IAM and SSO authentication. Sweep AI: no public information disclosed.