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Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Visual development platform with AI design-to-code, a visual editor and headless CMS so teams and agents ship UI in real code.
Trae AI-powered IDE for developer collaboration; notable ByteDance-backed dev product.
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
AI coding platform routing many agents and models through one encrypted, usage-based endpoint with CLI, IDE and multi-agent execution.
No public pricing
No public pricing
No public pricing
- ✦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 design-to-code (Figma to code)
- ✦Visual editor tied to your components
- ✦Headless/visual CMS
- ✦AI agents (Builder-Agent) that open PRs
- ✦Integrations: GitHub, GitLab, Bitbucket, Figma, VS Code
- ✦Roles, reviews and collaboration
- ✦AI Agents
- ✦Tool Integration
- ✦Context Awareness
- ✦Smart Autocompletion
- ✦Local Data Storage
- ✦Secure Data Access
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Unified encrypted inference endpoint
- ✦Multi-agent parallel execution
- ✦CLI, IDE, and API access
- ✦App builder and remote coding agents
- ✦Chairman LLM output evaluation
- ✦35+ IDE integrations
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Convert designs to production code
- →Let non-developers edit pages visually
- →Manage content with a headless CMS
- →Collaborate across design, PM and engineering
- →Automating coding tasks with AI agents
- →Integrating external tools for enhanced functionality
- →Improving code accuracy with context-aware suggestions
- →Boosting coding speed with smart autocompletion
- →Building RAG apps without writing code
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Automating refactors, tests, and migrations
- →Running competing AI coding agents
- →Building apps from prompts
- →Integrating agents into CI/CD