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Compare/CodeArts Agent vs Kiro

CodeArts AgentvsKiro

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

CodeArts Agent
Huawei Cloud · AI-native IDE
#44MCP
Panel
6.8
2 spec wins
Reliability
7.0
Usefulness
6.8
Cost
5.8
Longevity
7.5

“There is a HarmonyOS agent and an ArkTS-tuned model, available on the China site only, which is a very specific way to be excluded.”

Kiro
Amazon Web Services · AI-native IDE
#57MCP
Panel
6.5
3 spec wins
Reliability
6.3
Usefulness
6.7
Cost
5.7
Longevity
7.3

“Makes you write requirements, design and tasks before any code, so the credit meter starts running before the first line does.”

Spec by spec

SpecCodeArts AgentKiro
Architecture
CategoryAI-native IDEAI-native IDE
Runslocal, cloudlocal, cloud, sandbox
Platformsmacos, linux, windowsmacos, linux, windows, web
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverYesNo
Capabilities
Runs terminal commandsYesThe v26.5.1 release notes describe a CLI in which you run commands and a TUI in which you use natural language to complete coding tasks. Yes
Multi-file editsYesYes
Git operationsYesGit operations are listed among the coding tasks the CLI completes, and the IDE reviews Git commit diffs. Yes
Browser controlNoYesEvery Kiro Web sandbox ships a headless Chrome with Playwright MCP, the agent-browser CLI and the Chrome DevTools MCP server preinstalled; the local IDE and CLI have no built-in browser tool.
Sandboxed executionNoYesKiro Web runs each task in its own isolated execution environment with configurable access controls.
Multi-agent orchestrationYesSub-agents are created and executed automatically for task decomposition and delegation, and multiple sessions run concurrently. Yes
Headless / CI modeNoYes
Models
BackboneGLM-5.2, openPangu-2.0-Flash, openPangu-2.0-Pro, GLM-5.2-ArkTS-SPARKClaude, GPT, DeepSeek, Qwen, MiniMax, GLM
Bring your own modelYesThird-party models can be configured by the individual on the entry and basic tiers, and centrally by an administrator on the professional tier. NoKiro exposes a picker over its own curated model list plus an Auto router; no custom base URL, Bedrock deployment or self-hosted endpoint is documented.
Local modelsNoNoNo local or OpenAI-compatible endpoint is documented; only Kiro-hosted models are selectable.
Cost
Pricing modelmixedmixed
Starts atn/a$20/mo
Free tierYesYes
Bring your own keyNoNoKIRO_API_KEY for headless runs is a Kiro platform token billed against Kiro credits, not your own provider or AWS account key.
Openness
Open sourceNoNo
Licenseproprietaryproprietary
GitHub starsn/a4,343

Which one would each critic pick

CriticCodeArts AgentKiroPick
El Juez——not enough reviews
El Amigo7.07.3Kiro — Pick Kiro if you want an agent that makes you write requirements and a design before it touches code, and accept that the bill is a credit meter you cannot route around with your own key.
El Crítico6.36.3no preference
El Profesor7.06.5CodeArts Agent — Retrieval is split between a cloud index over repositories of tens of millions of lines and a local language server supplying diagnostics, jumps and symbols. Two sources, two jobs.
La Inversora7.57.8Kiro — Kiro is AWS's entry, and the question is never whether AWS can fund it, only whether AWS keeps caring.
La Jefa7.57.0CodeArts Agent — Single sign-on, IP allow-lists, per-scope governance and token quotas, with a seat-based professional edition sized from 1 to 1000. This is the first row this quarter written for me.
El Hacker5.54.3CodeArts Agent — Closed source, and third-party models are mine to configure on the entry tiers but an administrator's decision on the professional one. It is an MCP server as well as a client.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.