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Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
AI coding assistant for editors and IDEs that explains, refactors, documents, and generates code across 56 languages.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
AI-assisted no-code platform for building and exporting production-grade web apps, with a visual editor and code export.
No public pricing
No public pricing
Free trial available
Free trial available
No public pricing
No public pricing
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦Bug detection and fix suggestions
- ✦Code and CSS framework conversion
- ✦Unit test and documentation generation
- ✦Regex, SQL query, and CI/CD pipeline generation
- ✦Code explanation and style checking
- ✦Editor extensions for VS Code, Sublime, JetBrains, Visual Studio
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦AI-generated pages, databases, and logic from plain-language prompts
- ✦Visual drag-and-drop editor for fine-tuning
- ✦Figma import and custom code component support
- ✦One-click publishing on global CDN or code export
- ✦Built-in integrations for email, SMS, APIs, and databases
- ✦SOC2, HIPAA, and GDPR-compliant enterprise architecture
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Generating unit tests for existing functions
- →Refactoring legacy code to modern practices
- →Producing inline documentation automatically
- →Learning new programming languages or concepts via AI explanations
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Building SaaS products and MVPs without a dev team
- →Creating internal tools and client portals
- →Agencies delivering custom web apps for clients
- →Enterprises needing compliant, self-hosted deployments