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No-code and AI builder for internal tools, admin panels, CRMs and customer portals on top of your existing databases.
AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
IDE coding assistant for VS Code and JetBrains that uses your own API keys across 15+ model providers, with agentic mode and autocomplete.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Drag-and-drop visual app builder
- ✦Auto-generated admin panels from databases
- ✦External data sync into a single source of truth
- ✦Workflow automation with 5,000+ integrations
- ✦Granular permissions and sharing
- ✦AI apps and AI agent builder
- ✦Self-hosted option
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦BYOK access to 15+ model providers
- ✦Agentic planning-then-build mode
- ✦AI autocomplete
- ✦MCP connections to external systems
- ✦Custom rules and live context tracking
- ✦Local models via Ollama/LM Studio
- ✦VS Code and JetBrains plugins
- →Internal tools for support, ops and sales
- →Custom CRMs and admin panels
- →Customer and partner portals
- →Approval and dashboard apps
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Code generation, refactoring and debugging
- →Control AI spend with your own keys
- →Switch between frontier models per task
- →Keep code private and data-sovereign