Kiro

Kiro

Amazon Web Services
ZCode

ZCode

Z.ai
+
+

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About

Kiro is an AI‑powered integrated development environment that brings structure to AI‑driven coding by converting natural‑language prompts into clear requirements, system designs, and discrete implementation tasks validated by robust tests. Built from the ground up for agentic workflows, it features spec‑driven development, multimodal chat, “agent hooks” that trigger background tasks on events like file saves, and an autopilot mode that autonomously runs large scripts while keeping you in control. With smart context management, Kiro reduces repetitive prompts and helps implement complex features across large codebases. Native MCP integrations let you connect to documentation, databases, and APIs, and you can guide development with images of UI designs or architecture diagrams. Enterprise‑grade security and privacy ensure safe deployment, while support for Claude Sonnet models, Open VSX plugins, and existing VS Code settings delivers a familiar yet AI‑supercharged experience.

About

ZCode is an Agentic Development Environment built to bring GLM-5.2 into real coding workflows, combining the best AI agents with existing tools so developers can plan, code, review, and deploy without friction. It is designed for long-context, long-horizon, and agentic coding tasks, helping users move from requirement understanding to implementation, verification, and review inside one stable desktop workspace. ZCode Agent is the default self-developed agent framework, deeply integrated with tasks, models, permissions, file references, execution modes, Git branch state, and commit flow, making it a strong fit for everyday development, task breakdown, multi-file edits, debugging, testing, project preview, and continuous project work. Built around GLM-5.2, ZCode keeps goals, files, terminal results, browser context, execution modes, and Git state in the same task, so complex work can continue without losing continuity.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and engineering teams needing a tool to accelerate AI‑driven coding from prototype to production with structured, spec‑driven development and autonomous AI agents

Audience

AI-native software teams that need a desktop agentic development environment for GLM-5.2 coding, multi-agent workflows, long-running tasks, skills, MCP tools, and remote task control

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$19 per month
Free Version
Free Trial

Pricing

$16.20 per month
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 4.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Fast, Focused, and Flexible Kiro is a clean, fast IDE that prioritizes focus and responsiveness. Setup is straightforward, and the interface keeps essential panels (editor, explorer, terminal) within easy reach without feeling cluttered. Standout strengths include snappy file navigation, sensible defaults, and low-friction workflows for running and debugging projects. While the extension ecosystem isn’t as vast as some incumbents, the built-in features cover most daily needs, and performance remains solid even on larger codebases. If you value a distraction‑free environment with smart ergonomics over endless plugins, Kiro is an excellent choice. I’d love to see deeper VCS insights and more out‑of‑the‑box language tooling, but overall it’s a productive, reliable IDE.

Cons

  • Where it could improve Ecosystem depth: If you rely on niche language tooling or specialized plugins, you may find fewer options compared to larger marketplaces. Advanced VCS views: Basic Git workflows are smooth, but richer features (commit graph, interactive rebase UI, code review surfaces) would elevate team use. Language intelligence: Autocomplete and refactoring are solid for mainstream languages; deeper static analysis and framework-aware hints would be welcome.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon Web Services
Founded: 2002
United States
kiro.dev/

Company Information

Z.ai
Founded: 2019
China
zcode.z.ai/

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Categories

Categories

Integrations

AppDeploy
Butterbase
C
C#
Claude
Dock
Feishu
GLM-5.2
Go
InsForge
JSON
Kotlin
MemPalace
OpenViking
PHP
Ruby
Rust
Subspace
Telegram
WeChat

Integrations

AppDeploy
Butterbase
C
C#
Claude
Dock
Feishu
GLM-5.2
Go
InsForge
JSON
Kotlin
MemPalace
OpenViking
PHP
Ruby
Rust
Subspace
Telegram
WeChat
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