Best Google Antigravity Alternatives & Competitors

Cursor

Freemium

The AI-first code editor built for pair programming with agents

Cursor is an AI-native code editor built on top of Visual Studio Code that deeply integrates large language models into every aspect of the development workflow. Unlike traditional editors with bolt-on AI plugins, Cursor was architecturally designed around AI from the ground up, offering intelligent code completion, multi-file editing, autonomous agents, and full codebase understanding out of the box. At its core, Cursor features a proprietary Tab model that delivers context-aware autocomplete by predicting not just the next token but the developer's next action with striking accuracy and speed. The Agent mode takes this further by operating autonomously — building, testing, and demoing features end to end for the developer to review. Composer enables multi-file edits from natural language prompts, making large refactors and feature implementations dramatically faster. Cursor supports every major frontier model including Claude Opus 4.6, GPT-5.2, Gemini 3 Pro, and xAI's Grok Code, as well as Cursor's own proprietary models. Developers can choose the best model for each task or bring their own API keys for maximum flexibility. The editor provides complete codebase understanding through semantic indexing that scales to massive enterprise codebases. Additional capabilities include BugBot for automated GitHub pull request reviews, cloud agents accessible from any browser, MCP (Model Context Protocol) app integrations, Slack integration for team collaboration, and CLI support. Cursor is trusted by over half of the Fortune 500 and reports over 90% adoption at companies like Salesforce and NVIDIA. With SOC 2 certification, enterprise-grade security controls, and team collaboration features, Cursor has rapidly become the leading AI code editor for both individual developers and large engineering organizations.

Windsurf

Freemium

40+ IDEs. 950 tokens/sec. The AI coding tool that doesn't force you into VS Code.

Windsurf is the AI-native code editor that broke the VS Code monopoly on AI coding. Instead of forking one editor, Windsurf built plugins for 40+ IDEs: JetBrains (IntelliJ, PyCharm, WebStorm), Vim, NeoVim, XCode, and its own standalone editor. If you have a preferred IDE, Windsurf works inside it. The headline feature is SWE-1.5, Windsurf's proprietary coding model. It runs at 950 tokens per second on Cerebras hardware with sub-100ms time-to-first-token. For comparison, Claude Sonnet 4.5 processes roughly 70 tokens per second. SWE-1.5 is 13x faster. That speed powers Cascade, Windsurf's autonomous coding agent that handles multi-step tasks end-to-end: writing functions, adding tests, updating imports, fixing lint errors. Windsurf switched from credits to quota-based pricing on March 19, 2026. The Pro plan costs $20/month with daily and weekly quota refreshes. All Windsurf proprietary models (SWE-1, SWE-1.5, SWE-1-mini, swe-grep) consume zero quota. Third-party models like Claude and GPT are available but eat into your allowance faster. Enterprise is where Windsurf separates from every competitor. FedRAMP High authorization, HIPAA compliance, and ITAR certification. If your organization operates in government, healthcare, or defense, Windsurf is currently the only AI IDE that qualifies. Over 4,000 enterprise customers use Windsurf as of April 2026. SWE-grep is the retrieval engine underneath. It searches your codebase 10x faster than traditional code search, giving Cascade the context it needs without you having to manually select files. Combined with automatic context detection from open files, terminal output, and recent changes, Cascade often understands what you need before you finish typing. The limitation: if you are a VS Code power user with dozens of extensions, Cursor's fork gives you closer compatibility. Windsurf's VS Code plugin works but does not replicate the full forked experience. For JetBrains and Vim users, though, Windsurf is the only serious option. Related reading: our full Cursor vs Windsurf comparison. Browse more AI coding tools or check MCP servers that extend AI IDE capabilities.

Raydian

Freemium

Most AI app builders give you a prototype. Raydian gives you a production app.Raydian is an AI-first full-stack development platform that turns natural language into deployed web applications. You describe what you want through a chat interface. The AI agent asks clarifying questions about goals, scope, and constraints. Then it builds—not a mockup, but a working app with backend, database, authentication, and hosting already wired up.The key difference from tools like Bolt or Lovable: Raydian follows a structured development process. It plans, builds, tests, and iterates on each feature rather than generating everything in one shot. That structured approach reduces the "AI slop" problem where generated code looks right but breaks under real usage.Everything runs on Cloudflare's edge infrastructure, which means sub-50ms response times globally without you configuring CDNs or regions. The database is edge-ready by default. Authentication works out of the box.The visual editor lets you override AI decisions without touching code. But if you want code access, it is there—full source code, not a locked-down drag-and-drop jail.Honest LimitationsRunning locally requires Cloudflare as the backend. You cannot swap in a different hosting provider. The "structured approach" that helps experienced builders may overwhelm absolute beginners who have never seen a database schema. And the free tier's 100-prompt limit runs out fast if you are iterating on a complex app.Who It Is ForNon-technical founders who want more control than Bubble but less complexity than coding from scratch. Developers who want AI acceleration without giving up code access. Teams that need built-in collaboration with branch-based version control.For more AI coding tools, browse our full directory at tools.skila.ai. For open-source alternatives, check repos.skila.ai.

OpenCode

Free

The open-source AI coding agent with 120K GitHub stars that runs in your terminal, desktop, and IDE

OpenCode is a free, open-source AI coding agent built by the team behind SST (Serverless Stack) that brings intelligent coding assistance to your terminal, desktop, and IDE. With over 120,000 GitHub stars, 800 contributors, and 5 million monthly developers, it has rapidly become one of the most popular developer tools on GitHub. OpenCode connects to 75+ AI models through Models.dev, including Claude, GPT-4, Gemini, and local models via Ollama, so you are never locked into a single provider. The tool ships with two built-in agents: Build Agent for full-access development work including file edits, command execution, and code generation, and Plan Agent for read-only analysis and code exploration without making changes. What sets OpenCode apart from commercial alternatives like Claude Code, Cursor, and GitHub Copilot is its privacy-first architecture. No code or context data is stored or shared, making it suitable for enterprise and privacy-sensitive environments. The automatic LSP integration connects to language servers for Rust, Swift, TypeScript, Python, Terraform, and more, giving the AI deep understanding of your codebase without manual configuration. OpenCode supports multi-session parallel agents, session sharing via links, and auto-compact conversations when approaching context limits. It stores session history locally via SQLite. Installation takes one command via curl, npm, Homebrew, or Go install. The desktop app is currently in beta for macOS, Windows, and Linux, while IDE extensions work with VS Code and Cursor. For developers who want full control over their AI coding tools without subscription fees, OpenCode delivers a remarkably capable experience at zero cost.

Cerebras

Freemium

The fastest AI inference platform — 20x faster than OpenAI and Anthropic

Cerebras is an AI inference platform built on the Wafer-Scale Engine, a purpose-built chip that delivers inference speeds 20x faster than GPU-based competitors like OpenAI and Anthropic. If you have ever waited seconds for a long response from GPT-4 or Claude, Cerebras eliminates that bottleneck entirely. The platform serves popular open-source models including Llama, Qwen, DeepSeek, Mistral, and GLM through a drop-in OpenAI-compatible API, meaning you can switch your existing code with a single base URL change. The free tier is genuinely generous: unlimited access to all Cerebras-powered models with community Discord support, making it one of the best ways to experiment with fast inference at zero cost. The Developer tier adds 10x higher rate limits and priority processing starting at just $10 self-serve. Enterprise customers get dedicated queue priority, custom model weights, fine-tuning services, and guaranteed uptime with a dedicated support team. Cerebras Code Pro offers a $50/month plan with 24 million tokens per day, ideal for indie developers, and a $200/month Max plan with 120 million tokens per day for heavy coding workflows and multi-agent systems. Cerebras has landed major enterprise customers including OpenAI (for low-latency inference), Meta, GSK, Mayo Clinic, AlphaSense, and Notion. The recent AWS partnership brings Cerebras inference to AWS Marketplace and Bedrock, making it accessible through existing cloud billing. Additional integrations with OpenRouter, Hugging Face, and Vercel make adoption straightforward for any stack. The main limitation is the model selection: you are restricted to supported open-source models, with no access to proprietary models like GPT-4 or Claude. For teams that need raw speed on open models, though, nothing else comes close.

AI code reviews that catch bugs before your teammates do

CodeRabbit is an AI-powered code review platform that automatically analyzes pull requests and provides actionable feedback within minutes. It identifies bugs, security vulnerabilities, and style issues while explaining the reasoning behind each suggestion. Engineering teams report cutting review turnaround time by 50% or more.

Open-source AI pair programmer that lives in your terminal and commits to Git

Aider is an open-source AI pair programming tool that operates directly in your terminal, enabling developers to collaborate with large language models to write, edit, and refactor code across entire repositories. Rather than offering a graphical IDE or browser-based interface, Aider embraces the command line as its native environment, making it a natural fit for developers who already live in the terminal and rely on Git for version control. What sets Aider apart from other AI coding assistants is its deep Git integration. Every change the AI makes is automatically staged and committed with a descriptive commit message, creating a clean audit trail that makes it trivial to review, diff, or undo any modification. This stands in sharp contrast to tools that require manual copy-pasting of AI-generated snippets or leave developers to manage their own version control around AI edits. Aider builds an internal map of your entire codebase, allowing it to reason about file relationships and make coordinated multi-file edits. It supports over 100 programming languages including Python, JavaScript, TypeScript, Rust, Go, C++, Ruby, and PHP. The tool works with virtually any LLM provider, from frontier models like Claude 3.7 Sonnet, GPT-4o, and DeepSeek R1 to locally hosted models through Ollama, giving developers full control over cost and privacy tradeoffs. The project has earned strong community validation with over 41,000 GitHub stars and 5.3 million pip installations. Aider processes roughly 15 billion tokens per week across its user base, and remarkably, 88 percent of the new code in its latest release was written by Aider itself. Additional capabilities include voice-to-code for hands-free coding, automatic linting and test execution on AI-generated code, support for images and web pages as context, and integration with IDE editors through code comments. Aider is completely free to use, with costs determined solely by your choice of LLM API provider, typically averaging around 70 cents per coding command when using frontier models.

Google AI Studio

Freemium

Build and prototype with Google's Gemini models — free tier included

Google AI Studio is Google's browser-based development environment for building, testing, and deploying applications powered by Gemini AI models. It provides a visual playground for experimenting with prompts, fine-tuning models on custom data, and generating API keys for production use — all without installing anything locally. The platform offers access to the full Gemini model family, including Gemini 3.1 Pro Preview (the most capable), Gemini 3.1 Flash-Lite (fastest), and legacy 2.5 models. A generous free tier gives developers access to all models with free input and output tokens for experimentation and prototyping, making it one of the most accessible ways to start building with frontier AI models. Google AI Studio 2.0 pushed the platform significantly forward in early 2026 by adding full web app prototyping capabilities with built-in Firebase integration, secrets management, and collaborative scaffolding. Developers can now go from prompt to deployed prototype without leaving the browser. The platform also supports multimodal inputs — text, images, audio, video, and code — across all Gemini models. Paid tier pricing is competitive: Gemini 3.1 Flash-Lite starts at just $0.25 per million input tokens, while the flagship Gemini 3.1 Pro Preview is $2.00 per million input tokens (with 50% batch discounts available). Additional features include context caching for repeat queries, Google Search grounding for fact-checked responses, Imagen 4 image generation ($0.02-$0.06 per image), and Veo 3 video generation ($0.15-$0.40 per second). For developers already in the Google ecosystem, AI Studio integrates directly with Firebase, Google Cloud, Google Workspace, and Vertex AI for enterprise deployment. The API follows the same interface as Vertex AI, making it easy to move from prototype to production.

Augment Code

Paid

AI coding agents that understand your entire codebase

Augment Code is an AI-powered software development platform built around a proprietary Context Engine that maintains a live semantic understanding of your entire codebase, including dependencies, architecture patterns, and git history. Unlike competitors that rely solely on foundation models with limited context windows, Augment indexes your full repository so its agents produce code that actually follows your project conventions and reuses existing abstractions instead of reinventing them. The platform works across VS Code, JetBrains IDEs, and a standalone CLI, with agents capable of handling multi-file refactoring, automated code review via inline GitHub comments, and coordinated task orchestration through its Intent workspace. Augment ranked first on the SWE-Bench Pro Leaderboard at 51.80% and outperformed human developers on 500 Elasticsearch pull requests across correctness, completeness, and code reuse metrics. The company raised $252 million from investors including Index Ventures, Lightspeed, and Eric Schmidt's Innovation Endeavors, reaching a near-unicorn valuation of $977 million. Pricing starts at $20 per month for individual developers with 40,000 credits, scaling to $60 per developer for teams with pooled credits and the full agent suite. The credit-based model replaced earlier message-based pricing in late 2025. Initial codebase indexing can take two to four hours on very large projects, and IDE support is currently limited to VS Code and JetBrains, so Neovim and Emacs users are out of luck. The code review feature achieves 65% precision, meaning roughly two out of three comments surface genuine issues rather than style nits. Augment holds SOC 2 Type II certification and is the first AI coding assistant with ISO/IEC 42001 compliance, making it a strong pick for enterprise teams with strict security requirements.

Gemini CLI

Freemium

Google's free, open-source AI coding agent that runs Gemini 2.5 Pro directly in your terminal

Gemini CLI is Google's open-source command-line AI agent that puts Gemini 2.5 Pro and its 1 million token context window directly in your terminal. Unlike IDE-based AI assistants, Gemini CLI works wherever you already work: bash, zsh, or any shell environment. You install it with a single npm command, sign in with your Google account, and start prompting immediately. No credit card, no subscription, no API key required for the free tier. The free tier is genuinely generous. Google provides 60 requests per minute and 1,000 requests per day at zero cost, which Google says is double the highest usage they observed in internal developer testing. That means most individual developers will never hit the limit during normal coding sessions. If you do need more, you can plug in a Google AI Studio API key for pay-as-you-go pricing or connect a Vertex AI account for enterprise workloads. Gemini CLI ships with a practical set of built-in tools: file read and write, shell command execution, web content fetching, and Google Search grounding. That last one is significant because it means the model can look up current documentation and API references mid-conversation instead of relying solely on its training data. You can extend its capabilities further through MCP (Model Context Protocol) servers, connecting it to databases, APIs, or custom tooling. Conversation checkpointing lets you save and restore sessions, which is useful for long-running refactoring tasks or when you need to pause work and come back later. The /restore command reverts your project files to the checkpointed state and reloads the full conversation history. GEMINI.md files work like system prompts scoped to your project directory, so you can define coding standards, preferred patterns, or project context that persists across sessions. The project is fully open source under Apache 2.0, hosted on GitHub with over 95,000 stars, making it one of the fastest-growing developer tools in recent memory. Weekly stable releases ship through three channels: stable, preview, and nightly. The community is active and Google maintains the project with regular feature additions, including recent work on an experimental browser agent and the /plan command for structured task breakdowns. Where Gemini CLI falls short compared to Claude Code or Cursor is in multi-file edit sophistication. It handles single-file changes well but can sometimes struggle with coordinated refactors across many files. The terminal-only interface also means no visual diffing or inline code suggestions, which IDE-integrated tools handle better. For developers who prefer visual feedback, this is a real tradeoff. But for terminal-native workflows where cost matters, Gemini CLI is hard to beat on value.