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Google Antigravity vs Kiro

Which is the better AI coding for Mac in 2026?

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Google Antigravity icon

Google Antigravity

AI Coding Agent IDE by Google

Full review
Kiro icon

Kiro

Agent-centric IDE with spec-driven development by Amazon

Full review

Our verdict

How we compare apps

August 2026: Antigravity and Kiro solve different jobs at similar competence. Antigravity's GA multi-agent console, listed Gemini 3.x plus Claude 4.6-class models, and built-in Chrome close the loop for product and front-end work. Kiro's credit ladder, EARS requirements, design and task artifacts, and Hooks automation close the loop for regulated and long-lived systems. Cursor remains the default third pick for solo product engineers who live in chat-and-diff rather than multi-agent dashboards or formal specs. Score them as peers on raw coding help. Score them differently on process: Antigravity optimizes parallel throughput; Kiro optimizes written intent before code; Cursor optimizes flow in one editor. macOS Tahoe 26.x and Apple Silicon are the assumed desktop baseline. Where weekly rate limits or monthly credits apply, treat them as soft capacity and size the plan before an agent-heavy week.

Read the quick answer

Which is better: Google Antigravity or Kiro?

Google Antigravity and Kiro are both AI coding on a Mac, so the pick depends on workflow. Pick Antigravity for multi-agent Google workflows and visual browser verification. Pick Kiro for spec-first development with clear credit math and AWS. As of October 2026, both install with brew install --cask antigravity and brew install --cask kiro.

TL;DR

Google Antigravity vs Kiro: August 2026: Antigravity and Kiro solve different jobs at similar competence. Antigravity's GA multi-agent console, listed Gemini 3.x plus Claude 4.6-class models, and built-in Chrome close the loop for product and front-end work. Kiro's credit ladder, EARS requirements, design and task artifacts, and Hooks automation close the loop for regulated and long-lived systems. Cursor remains the default third pick for solo product engineers who live in chat-and-diff rather than multi-agent dashboards or formal specs. Score them as peers on raw coding help. Score them differently on process: Antigravity optimizes parallel throughput; Kiro optimizes written intent before code; Cursor optimizes flow in one editor. macOS Tahoe 26.x and Apple Silicon are the assumed desktop baseline. Where weekly rate limits or monthly credits apply, treat them as soft capacity and size the plan before an agent-heavy week.

Feature Comparison

Feature comparison between Google Antigravity and Kiro
FeatureGoogle AntigravityKiro
PriceFree + paid plansFree
Open SourceNoNo
ReplacesCursor Pro ($20/month)Cursor Pro ($20/month)
Best forai, ide, googleai, ide, amazon
Installbrew install --cask antigravitybrew install --cask kiro
CategoryDeveloper ToolsDeveloper Tools

Quick Install

Google Antigravity
brew install --cask antigravity
Kiro
brew install --cask kiro

Learn More

In-Depth Overview

What is Google Antigravity?

Google Antigravity is an agent-first development platform (IDE lineage plus Antigravity 2.0 command center, CLI, SDK). Individual pricing is $0 with basic weekly limits and listed models Gemini 3.5 Flash, Gemini 3.1 Pro, Gemini 3 Flash, Claude Sonnet & Opus 4.6, gpt-oss-120b; Google AI Pro/Ultra raise caps; organizations use Google Cloud. Manager/Agent Teams views, artifacts, browser tools, hooks, and scheduled agents define the product. It is the better fit when parallel subagents and Gemini ecosystem use matter more than formal spec artifacts.

What is Amazon Kiro?

Amazon Kiro is AWS's agentic, spec-driven IDE (Code OSS based) with IDE/CLI/web surfaces. As of August 2026 individual plans on kiro.dev: Free $0 (50 credits) with open-weight models and rate-limited Claude Sonnet 4.5; Pro $20 (1,000 credits); Pro+ $40 (2,000); Pro Max $100 (5,000); Power $200 (10,000); add-ons about $0.04/credit. Paid tiers unlock Auto routing and premium models including Claude Sonnet 4.6 and Claude Opus 4.8 (availability varies). Steering hooks, MCP/Powers, and IAM Identity Center enterprise paths differentiate it for regulated and AWS-native teams. It is the better fit when specs, auditability, and credit transparency beat vibe-only multi-agent dashboards.

Detailed Feature Comparison

Agent Orchestration

Critical importance

Google Antigravity

Excellent

Manager View supports up to 5 parallel agents working across different workspaces simultaneously. Agents report progress through an inbox-style interface with inbox notifications when human input is required. Diffs from completed agents can be reviewed and merged without switching projects.

Kiro

Good

Supports parallel agent execution but with less emphasis on visual orchestration. Agents follow structured specs and can work on different tasks, but the workflow is more focused on sequential spec-to-code pipelines rather than parallel independent sessions.

Verdict: Antigravity wins on pure parallel agent capacity and visual management, offering a more mature multi-agent interface. Kiro's approach is more structured but less flexible for ad-hoc parallel work.

Spec-Driven Development

Critical importance

Google Antigravity

Fair

No native spec-driven development. Agents generate code directly from prompts without structured requirements documentation. While agents can plan before coding, there's no formal specification artifact that is source of truth.

Kiro

Excellent

Core differentiator. Converts natural language prompts into structured requirements using EARS notation, generates architectural designs backed by practices, and breaks down work into tracked tasks. Makes specs the primary artifact and code the build output.

Verdict: Kiro dominates spec-driven development by design. This is Antigravity's weakest area, it's built for speed, not formal engineering documentation.

Model Support & Routing

High importance

Google Antigravity

Excellent

Gemini 3.5 Flash / 3.1 Pro / 3 Flash plus Claude Sonnet & Opus 4.6 and gpt-oss-120b on the public pricing page.

Kiro

Excellent

Free: open weights + Claude Sonnet 4.5. Paid: Auto plus Claude Sonnet 4.6 and Claude Opus 4.8 (region-dependent).

Verdict: Tie, different menus, both strong; Antigravity for Gemini mix, Kiro for Claude premium via Bedrock-style routing.

Built-in Browser/Testing

High importance

Google Antigravity

Excellent

Integrated Chrome browser allows agents to launch localhost, interact with applications (fill forms, click buttons), and screenshot results. Unique capability that closes the loop between code generation and visual verification.

Kiro

Good

Supports testing through Hooks system automation and can generate tests, but lacks a built-in browser for visual verification. Testing is more focused on automated unit/integration tests rather than visual UI validation.

Verdict: Antigravity wins on front-end verification with its unique built-in Chrome. Kiro handles traditional testing automation better through Hooks.

Workflow Automation

High importance

Google Antigravity

Fair

Limited workflow automation beyond agent dispatch. No event-driven system for triggering actions on repository events. Focus is on manual agent orchestration rather than automated pipelines.

Kiro

Excellent

Hooks system enables event-driven automation that fires on file save, PR open, and repo events. Can run tests, update docs, regenerate fixtures, or cascade spec changes without manual prompting. Enables sophisticated CI-like workflows within the IDE.

Verdict: Kiro's Hooks system is a major differentiator for workflow automation. Antigravity lacks comparable event-driven capabilities.

VS Code Compatibility

High importance

Google Antigravity

Excellent

Full VS Code fork with complete extension ecosystem compatibility. One-click import of existing settings, themes, and keybindings. Extensions from VS Code Marketplace work out of the box.

Kiro

Good

Based on Code OSS with VS Code settings import capability. Supports Open VSX compatible plugins. Most VS Code extensions work, but not all VS Code Marketplace extensions are available through Open VSX.

Verdict: Antigravity has superior VS Code compatibility as a direct fork with full Marketplace access. Kiro is close but has some extension limitations.

Ecosystem Integration

Medium importance

Google Antigravity

Good

Deep Google ecosystem integration with Workspace, Cloud, and Gemini API. First-party features optimized for Gemini. Supports Claude and GPT but not as tightly integrated. Chrome integration is unique.

Kiro

Excellent

Native AWS integrations with CodeCatalyst, Q Developer, Bedrock, and IAM. 90+ integrations including GitHub, GitLab, Slack, Linear, Jira, Datadog. Natural fit for AWS-centric teams but awkward for non-AWS environments.

Verdict: Kiro wins for AWS users with thorough enterprise integrations. Antigravity is more vendor-neutral outside of Google's ecosystem.

Pricing Transparency

Medium importance

Google Antigravity

Fair

Freemium via Google AI subscriptions and weekly rate limits; Ultra repriced downward in 2026 but still quota-sensitive.

Kiro

Excellent

Published credit envelopes from 50 to 10,000 with $0.04 overages and IDE usage dashboards.

Verdict: Kiro wins pricing transparency.

Who Should Choose Which?

1Startup MVP Development (Rapid Prototyping)

Google Antigravity

When you need to ship features fast and iterate rapidly, Antigravity's parallel agents and built-in Chrome verification accelerate the build-test cycle. The familiar VS Code environment means no onboarding friction for new team members.

2Enterprise Long-Term Projects (Maintainability Focus)

Kiro

For systems that will be maintained for years, Kiro's spec-driven approach ensures documentation quality and decision traceability. The Hooks automation keeps documentation and tests synchronized without manual effort.

3Front-End Heavy Development (UI/UX Work)

Google Antigravity

The built-in Chrome browser is a major improvement for front-end work. Agents can visually verify UI changes, fill forms, and capture screenshots, closing the loop between code generation and visual validation.

4AWS-Native Teams (Infrastructure as Code)

Kiro

Teams already invested in AWS ecosystem will find Kiro's deep CodeCatalyst, Bedrock, and IAM integrations useful. The spec-driven approach pairs naturally with infrastructure-as-code practices.

5Solo Mac developer comparing AI IDEs this weekend

cursor-or-antigravity

If the real question is Antigravity or Kiro after living in Cursor, keep Cursor for day-to-day edits and trial Antigravity free for a multi-agent front-end task. Only invest in Kiro Pro when you feel the pain of missing specs and Hooks on a multi-person service.

6Regulated fintech service with audit requirements

Kiro

EARS requirements, task artifacts, IAM Identity Center paths, and credit dashboards beat parallel agent demos when auditors ask who approved a change. Antigravity can still help on internal tools without compliance scope.

Migration Guide

From_antigravity → Kiro

1. Export any critical agent configurations or prompt patterns from Antigravity. 2. Install Kiro IDE and import VS Code settings during onboarding. 3. Begin adopting spec-driven workflow gradually, start with one feature using Kiro's spec approach while maintaining Antigravity for other work. 4. Configure Hooks to automate documentation and test generation that was manual in Antigravity. 5. Transfer active projects by creating specs for in-progress features before continuing implementation. 6. Adjust to the slower initial pace of spec creation by measuring reduced iteration cycles. 7. Use Kiro CLI for any terminal-based workflows from Antigravity. 8. For the first week, pick one service boundary and force every change through a Kiro requirements file before opening a PR. 9. Map Antigravity browser verification steps to Kiro Hooks that run unit and visual regression tests in CI instead of expecting an in-IDE browser.

From_kiro → Antigravity

1. Document existing Hooks automation to identify manual replacements needed in Antigravity. 2. Install Antigravity and import VS Code settings/extensions. 3. Plan for loss of structured specs, extract key requirements from existing Kiro specs into comments or documentation. 4. Learn Manager View interface for parallel agent orchestration. 5. Use the built-in Chrome browser for any front-end verification that was manual in Kiro. 6. Distribute work across up to 5 parallel agents to maintain productivity. 7. Be prepared for less predictable costs, monitor credit consumption carefully after migration. 8. Convert high-value EARS requirements into Antigravity agent mission briefs so intent is not lost. 9. Turn on Manager View with two agents first (implementation plus test authoring) before scaling to five.

Final Verdict

Overall Winner

tie

8.8/10

Score

Google Antigravity

8.8/10

Score

Kiro

Scores are Bundl.run editorial ratings out of 10 across 8 criteria (the feature comparison above), last reviewed August 2026.

August 2026: Antigravity and Kiro solve different jobs at similar competence. Antigravity's GA multi-agent console, listed Gemini 3.x plus Claude 4.6-class models, and built-in Chrome close the loop for product and front-end work. Kiro's credit ladder, EARS requirements, design and task artifacts, and Hooks automation close the loop for regulated and long-lived systems. Cursor remains the default third pick for solo product engineers who live in chat-and-diff rather than multi-agent dashboards or formal specs. Score them as peers on raw coding help. Score them differently on process: Antigravity optimizes parallel throughput; Kiro optimizes written intent before code; Cursor optimizes flow in one editor. macOS Tahoe 26.x and Apple Silicon are the assumed desktop baseline. Where weekly rate limits or monthly credits apply, treat them as soft capacity and size the plan before an agent-heavy week.

Bottom Line: Pick Antigravity for multi-agent Google workflows and visual browser verification. Pick Kiro for spec-first development with clear credit math and AWS governance. Pick Cursor when you want a single polished AI IDE without either cloud's process model. If someone asks Antigravity or Kiro, answer with your orchestration style first, then price.

Frequently Asked Questions

Is Antigravity or Kiro cheaper at $20/month?
List prices rhyme (Google AI Pro ≈ $20; Kiro Pro = $20), but metering differs: Antigravity uses Google weekly/credit pools, Kiro uses explicit monthly credits with $0.04 overages. Compare your agent-trace volume, not the sticker alone.
Which is better for front-end development: Antigravity or Kiro?
Antigravity has a clear advantage for front-end work due to its unique built-in Chrome browser. This allows agents to visually verify UI changes, fill forms, click buttons, and capture screenshots, creating a tight feedback loop between code generation and visual validation. Kiro lacks this visual verification capability, focusing instead on automated testing through its Hooks system.
Is Kiro only for AWS users?
While Kiro has deep AWS integrations (CodeCatalyst, Bedrock, IAM), it doesn't require an AWS account to use. Developers can sign in with GitHub or Google and use Kiro independently. However, the full value of Kiro, including enterprise features like SAML/SCIM SSO, is realized within AWS-centric organizations. Non-AWS users may find some integrations less relevant.
Why does Antigravity have pricing controversies?
Antigravity uses an opaque credit system where the credit-to-token conversion rate is not publicly disclosed. Users have reported multi-day lockouts (7-10 days) when exhausting quotas, even on paid tiers like Pro and Ultra. A single Claude Opus session can consume 600+ credits, making costs unpredictable. Google has also reduced free tier quotas multiple times since launch, creating trust issues.
Can I use Claude models in both tools?
Yes, both Antigravity and Kiro support Claude models. Antigravity supports Claude Sonnet 4.6 and Opus 4.6 alongside Gemini and GPT. Kiro routes between Claude Sonnet for reasoning-heavy specs and Amazon Nova for high-throughput generation. However, Antigravity's first-party features are optimized for Gemini, while Kiro provides more neutral multi-model routing through Amazon Bedrock.
What is spec-driven development and why does it matter?
Spec-driven development is Kiro's core methodology where structured specifications (requirements in EARS notation, architectural designs, task breakdowns) are created before any code is written. This makes specs the primary artifact and code a build output. It matters because it ensures documentation quality, decision traceability, and long-term maintainability, addressing the 'vibe coding' problem where AI-generated code lacks context and documentation.
How many parallel agents can each tool run?
Antigravity's Manager View supports up to 5 parallel agents working simultaneously across different workspaces. Kiro supports parallel execution but with less emphasis on visual orchestration, its workflow is more focused on sequential spec-to-code pipelines. If you routinely need more than 5 parallel sessions, neither tool may suffice, and you might need complementary tools like Nimbalyst.
Is either tool open source?
Neither tool is fully open source. Antigravity is a closed-source VS Code fork distributed as a binary. Kiro is based on Code OSS (the open-source foundation of VS Code) but adds proprietary AWS-specific features. Both allow some community contributions through feedback and extensions, but core development is controlled by Google and AWS respectively.
What happened to Amazon Q Developer?
Amazon Q Developer was announced for end-of-support in April 2026, with AWS recommending Kiro as the successor for developers seeking AI-assisted coding. Q Developer proved that AI belongs in the developer workflow, and Kiro builds on that foundation with more sophisticated spec-driven development capabilities and deeper AWS integrations.
Which tool has better VS Code compatibility?
Antigravity has superior VS Code compatibility as a direct fork with full access to the VS Code Marketplace. Kiro is based on Code OSS and supports Open VSX compatible plugins, which covers most popular extensions but not the complete VS Code ecosystem. Both support importing VS Code settings and keybindings.
Antigravity or Kiro: which should I install first?
Install the one that matches how you already work. If you ship prototypes by spinning agents and reviewing diffs, start Antigravity on the free Individual tier and watch weekly limits. If you already write tickets or RFCs before code, start Kiro Free (50 credits) and force one small feature through requirements, design, and tasks. Switching later is possible; learning both deeply in the same week is rarely worth it.
Antigravity vs Kiro vs Cursor: who wins?
Cursor wins polished single-dev AI editing and autocomplete. Antigravity wins parallel agents plus built-in Chrome verification under Google models. Kiro wins when specs, Hooks, and AWS IAM matter more than vibe coding. Teams often keep Cursor or Antigravity for UI spikes and Kiro for services that need an audit trail. There is no universal winner across all three axes.
What are the dealbreakers for Antigravity?
Opaque quota math and lockout risk when weekly or credit pools burn down mid-mission; weak native EARS-style specs; first-party bias toward Gemini even though Claude and open weights appear on the menu. If you need formal requirements as the source of truth every sprint, Antigravity will feel incomplete.
What are the dealbreakers for Kiro?
Spec ceremony slows greenfield spikes; AWS gravity makes non-AWS shops pay for integrations they barely use; no built-in browser for visual UI verification; Free credits are easy to exhaust. If you only want chat-to-diff speed, Kiro's process will feel heavy.
How long does migration between Antigravity and Kiro take?
Plan a weekend for a single active repo if you export prompts, recreate one feature as a Kiro spec (or flatten Kiro specs into Antigravity agent briefs), and re-map extensions. Multi-repo teams should budget a sprint: Hooks and Manager View habits do not translate one-to-one. Keep the old tool installed for two weeks so mid-incident work does not stall.
Is Antigravity free in 2026?
Yes for individuals: Antigravity lists Individual at $0/month with basic weekly rate limits, unlimited tab completions and command requests, and access to the published model menu (Gemini 3.x, Claude Sonnet and Opus 4.6, gpt-oss-120b). Google AI Pro and Ultra raise rate limits and credit pools. Organization access runs through Google Cloud consumption. Free does not mean unlimited agent burn.

About the Author

Alex Chen

Senior Developer Tools Specialist

Code Editors & IDEsTerminal EmulatorsVersion Control Tools
12+ years in software development · Former senior engineer at tech startups

Explore More on Bundl

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Expert Insights

When the query is Antigravity or Kiro, lead with process: parallel agents versus specs. Feature tables alone do not convert the decision query.

seo-query-intenthigh confidence

Size Kiro Pro ($20 / 1,000 credits) before a heavy week; $0.04 overages are honest but stack fast on Opus-class traces.

pricing-analysishigh confidence

Use Antigravity's free Individual tier to validate multi-agent fit, then expect Google AI Pro or Ultra once weekly limits clip mid-mission.

hands-on-testingmedium confidence

Keep Cursor installed during either evaluation if you need a low-ceremony escape hatch for one-off edits.

community-feedbackmedium confidence

Sources & References

Fact-Checked

Last verified: Aug 9, 2026

Key Verified Facts

  • Antigravity Individual is $0 with Gemini 3.x and Claude Sonnet/Opus 4.6 listed on the official pricing page.[1]
  • Kiro individual plans scale Free 50 credits → Pro $20/1,000 → Power $200/10,000 with ~$0.04 add-on credits.[3]
  • Kiro ships native macOS builds (Apple Silicon supported) alongside Windows and Linux.[5]
  • Antigravity Individual is listed at $0/month with Gemini 3.5 Flash, Gemini 3.1 Pro, Gemini 3 Flash, Claude Sonnet and Opus 4.6, and gpt-oss-120b on the official pricing page.[1]
  • Independent 2026 comparisons frame Kiro as spec-driven with EARS artifacts and Antigravity as agent-first with parallel Manager View orchestration.[7]
  1. 1
    antigravity.googleAntigravity pricing

    Accessed Aug 9, 2026

  2. 2
    antigravity.googleAntigravity home

    Accessed Aug 9, 2026

  3. 3
    kiro.devKiro pricing

    Accessed Aug 9, 2026

  4. 4
    kiro.devKiro home

    Accessed Aug 9, 2026

  5. 5
    repost.awsAWS re:Post on Kiro IDE platform support

    Accessed Aug 9, 2026

  6. 6
    cognition.aiCognition blog on Windsurf (competitive context)

    Accessed Aug 9, 2026

  7. 7
    augmentcode.comKiro vs Antigravity (2026) , Augment Code

    Accessed Aug 9, 2026

Research queries: Google Antigravity IDE pricing 2026; Amazon Kiro IDE spec-driven development pricing; Amazon Q Developer end of support 2026; August 2026 pricing models macOS; product status verification 2026-08-09

Related Technologies & Concepts

VS CodeGemini 3.1Manager ViewSpec-Driven DevelopmentEARS NotationHooksAmazon BedrockAWS CodeCatalystChrome IntegrationCode OSS
VS Code (The foundation of Antigravity as a fork, providing extension compatibility), Gemini 3.1 (Default model for Antigravity, optimized for the platform's agent features), Manager View (Antigravity's signature feature for orchestrating up to 5 parallel agents), Spec-Driven Development (Kiro's core methodology making specifications the primary artifact), EARS Notation (Structured requirements format used by Kiro for explicit intent documentation), Hooks (Kiro's event-driven automation system for workflow orchestration), Amazon Bedrock (Unified model plane for Kiro's multi-model routing capabilities), AWS CodeCatalyst (Native integration partner for Kiro within the AWS ecosystem), Chrome Integration (Antigravity's unique built-in browser for visual verification), Code OSS (The open-source foundation Kiro is built upon)

Related Topics

Parallel Agent Orchestration

Tools and techniques for managing multiple AI agents working simultaneously on different development tasks

Spec-Driven Development

Development methodology prioritizing structured specifications as primary artifacts over generated code

AWS Developer Tools

AI-powered development tools deeply integrated with Amazon Web Services ecosystem

VS Code AI Extensions

AI coding assistants built on or compatible with Visual Studio Code