The Best AI IDEs for Java Coding: Comparing Cursor vs. Windsurf vs. Kiro vs. Antigravity

The way developers write code has fundamentally shifted. AI development tools are accelerating the DevOps feedback loop, and AI-native IDEs — i.e., IDEs built with AI at their core — are driving that change. They are fast becoming the standard for development teams that want to ship faster, reduce context-switching, and keep pace with increasingly complex Java codebases. 

But not all AI IDEs are the same when it comes to coding in Java. Cursor, Windsurf, AWS Kiro, and Google Antigravity each take a different philosophical approach to how AI and developers collaborate. Each one excels at a different area, e.g., multi-agent coding or spec-driven development. Read on for a closer look at the unique use cases for coding in Java with each. 

What Is an AI-Native IDE? 

A traditional IDE assists developers with syntax highlighting, code completion, and debugging. An AI-native IDE goes further: it embeds AI directly into the development workflow, capable of understanding your codebase, writing full functions, refactoring code, catching bugs, and even planning architectural changes. 

The defining characteristic of AI-native IDEs is that their agentic features are not bolted on or plugins. Moreover, all four AI-native IDEs discussed in this blog post — Cursor, Windsurf, Kiro, and Antigravity — are forks of VS Code, i.e., an independent code editor created by copying and editing the open-source VS Code codebase. Marketplaces like OpenVSX further leverage the power of the open source community with hundreds extensions. 

📓 Dive into the differences between AI plugins and AI-native IDEs. Read the blog.  

Who’s Using AI IDEs and How Are They Being Used for Java Development? 

AI IDEs are in a hyper-growth phase. Some Java development teams are using AI-native IDEs to generate code, then committing to that code in a traditional IDE (like IntelliJ IDEA), while others are further along on the adoption curve and use AI-native IDEs for all aspects of their Java development process.  

Similarly, adoption rates for each of the four covered AI-native IDEs runs the gamut from mainstream to edge use cases: 

• Cursor is by far the most popular AI-native IDE with more than 1 million downloads and 300,000 active users to date.  
• Windsurf boasts more than 500,000 active users, with 50,000+ developers using the AI code generator on a weekly basis. 
• Antigravity is growing, especially within the Google ecosystem.   
• Kiro is relatively new, with growing adoption among AWS customers.  

📊 Looking for more info on IDE adoption? Discover the most popular Java IDEs of 2026.  

Cursor: The AI Pair Programmer 

Cursor positions itself as an AI pair programming tool, keeping the human developer firmly in the loop. For instance, bug fixes are applied via agent workflow, giving developers direct control over when and how AI suggestions are applied. 

Context management is moderate compared to competitors, and cross-session memory is limited to the current chat. Multi-agent mode is partially supported. Cursor supports code and documentation, with partial support for planning workflows. 

Cursor supports multiple AI models and integrates well with standard development environments. However, it does not offer browser integration or native UI testing capabilities, which may limit its appeal for full-stack workflows. 

Adoption and Pricing of Cursor for Java 

Cursor has established a strong foothold across development communities, with more than 1 million downloads and around 300,000 active users to date. Its pricing model appeals to individual developers and enterprise developers alike. 

Pricing: 

• Hobby: Free 
• Pro: $20/month 
• Pro+: $60/month 
• Ultra: $200/month 
• Team and enterprise plans are also available 

Windsurf: The AI Teammate 

Windsurf frames AI as a teammate rather than a tool, making it particularly well-suited for large codebases. Its flagship feature, Cascade, combines deep codebase understanding with real-time awareness of developer actions. Cascade can automatically detect and fix lint errors, track previous actions, and continue work across sessions — all without losing context. 

Windsurf offers persistent, large-scale memory across sessions, which is a meaningful upgrade over tools with per-chat context limits. Image-to-code support (via drag-and-drop into Cascade) also adds a useful multimodal dimension to the workflow. 

Windsurf supports MCP (Model Context Protocol) natively, connecting to tools like Figma, Slack, Stripe, GitHub, and PostgreSQL. 

What sets Windsurf apart is its in-house SWE1.5 model, which works alongside other AI models such as Claude, GPT, and BYOK. Users can select their AI model based on capabilities and cost.  

Adoption and Pricing of Windsurf 

Windsurf has more than 500,000 active users and more than 4,000 enterprise customers. It is positioned for both individual developers and enterprise teams. 

Pricing: 

• Free: $0 
• Pro: $15/month 
• Pro (per user/month): $30 
• Enterprise plans available 

AWS Kiro: Spec-Driven Development 

Kiro is built on spec-driven development, a fundamentally different approach from Cursor, Windsurf, and Antigravity. Rather than jumping straight into code generation, Kiro first translates natural language prompts into structured requirements using EARS (Easy Approach to Requirements Syntax) notation. From there, the agent produces an architectural design and an implementation plan with discrete, sequenced tasks. 

This structured workflow makes Kiro particularly powerful for larger, more complex projects. Multi-agent mode is fully supported, and Kiro offers strong context management across large codebases. Memory operates per-agent session rather than persisting across the entire project history. 

Kiro's planning capabilities are comprehensive, and its terminal interaction is workflow-based. Agent hooks—triggered by events such as file saves—allow Kiro to autonomously generate documentation, run unit tests, or optimize code in the background. 

Adoption and Pricing of AWS Kiro 

Kiro is based on Code OSS and supports Open VSX plugins, themes, and VS Code settings, making migration from VS Code relatively straightforward. Kiro is relatively new and growing in popularity, especially among AWS users.  

Pricing: 

• Individual: Free (with generous weekly rate limits) 
• Developer: $20/month 
• Team plans available 

Google Antigravity: Multi-Agent Development 

Google Antigravity sets itself apart, with multiple agents running in parallel across your editor, terminal, and browser simultaneously. Its Agent Manager allows developers to orchestrate several agents across different workspaces from a single mission control view. 

Antigravity's editor offers tab autocomplete, natural language code commands, and a configurable, context-aware agent. Higher-level abstractions present developers with verification results and essential artifacts, building trust in what the agent produces.  

A standout feature is full browser integration, including UI testing through its "nano banana" model. This positions Antigravity as the most capable option for teams building and testing front-end applications, or anyone who wants agentic control that extends beyond the code editor. 

The platform supports Gemini models natively, alongside other frontier models. Diagram-to-code functionality adds another multimodal capability that goes beyond simple image imports. 

Adoption and Pricing of Google Antigravity 

Antigravity usage is currently growing within the Google ecosystem. As a newer entrant, its user base is still expanding. 

Pricing: 

• Individual: Free (no charge) 
• Team plans: Coming soon 

Key Considerations for Choosing an AI-Native IDE 

No single AI-native wins across every dimension. The right choice depends on your team's specific workflow, codebase size, and development philosophy. 

This chart compares the key differences in philosophy, AI models, developer workflow model, terminal interaction, browser integration, UI Testing, etc. between Cursor, Windsurf, Kiro, and Antigravity.  

Which AI Native IDE Is Best for Java Development? 

There is no one right IDE for Java development, but each AI-native IDE shines in a particular area.  

• Choose Cursor if you value tight human-AI collaboration and an excellent autocomplete experience for individual work. 
• Choose Windsurf if you need a persistent AI teammate with strong memory and large codebase support, particularly for enterprise teams. 
• Choose Kiro if your team values structured, documented development workflows and needs an AI that turns prompts into requirements before writing a single line of code. 
• Choose Antigravity if you want full agent-first development across editor, terminal, and browser, especially if UI testing is part of your workflow. 

⭐ Your AI tool is only as good as your prompt! Read this blog from our friends at Perfecto on best practices for writing AI prompts for automated testing. 

What’s Next in AI-Native IDEs 

Cursor, Windsurf, Kiro, and Antigravity are not the only AI IDEs for Java on the market today. Discover how Jetbrains Air and Claude Code could upset these rankings as they mature.  

JetBrains Air 

One platform worth watching is JetBrains Air. Given JetBrains' deep roots in Java development and the popularity of IntelliJ, JetBrains Air has the potential to resonate strongly with Java-focused teams. For developers already invested in the JetBrains ecosystem, it may offer the most seamless AI-native transition when it becomes generally available. 

Claude Code 

Claude Code is a terminal-native AI assistant that integrates with your existing code editors and tools. Unlike other AI IDEs, Clause Code prioritizes transparency, control, and a deep understanding of the codebase. 

Among other capabilities, Claude Code can map and explain your entire codebase in a few seconds. Claude moved to general availability in May 2025 alongside the announcement of Claude 4. Look for Claude to gain popularity as an AI IDE for Java as developers begin to prioritize using AI without context switching.  

🎯 When to Trust AI Insights vs Human Expertise in Performance Engineering: Read the blog from our friends at Blazemeter. 

Final Thoughts on the Best AI IDEs for Java Coding

AI-native IDEs accelerate how fast developers can write and refactor code. But for Java developers, there is another friction point that consistently impacts their productivity: redeploy times. Every time you make a change and wait for a rebuild and redeploy cycle, you lose your development flow.  

JRebel eliminates that wait entirely. By allowing Java developers to see code changes instantly while maintaining application state, JRebel keeps you in the flow that AI-native IDEs work so hard to create.  

Iterate Faster With JRebel 

Start your 14-day free trial of JRebel today and compound the time savings already built into your AI-powered Java workflow. 

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Additional Resources 

• Blog: Java Basics: Your Guide to AI in Java IDEs
• Blog: Most Popular Java IDEs in 2026
• Blog: CTO Takes on Java Development Trends in 2025
• Blog: The AI Testing Evolution: The Future of QA Professionals & Prompt Engineering With AI
• Blog: When to Trust AI Insights vs Human Expertise in Performance Engineering