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AI builder that turns prompts into production-ready web components for internal dashboards and back-offices.
Trae AI-powered IDE for developer collaboration; notable ByteDance-backed dev product.
No-code AI platform that builds full-stack apps, websites and agents from plain-language prompts with hosting built in.
IDE coding assistant for VS Code and JetBrains that uses your own API keys across 15+ model providers, with agentic mode and autocomplete.
Google's AI coding assistant for code completion, generation, chat and review across IDEs and GitHub.
No public pricing
No public pricing
- ✦Prompt-to-component generation
- ✦Dashboard and back-office builder
- ✦Data source connections
- ✦Granular permissions
- ✦Log retention and GitHub backups
- ✦Generative AI features
- ✦AI Agents
- ✦Tool Integration
- ✦Context Awareness
- ✦Smart Autocompletion
- ✦Local Data Storage
- ✦Secure Data Access
- ✦Prompt-to-app full-stack generation
- ✦Built-in backend, database and auth
- ✦One-click integrations (Slack, Notion, HubSpot, etc.)
- ✦Instant hosting and custom domains
- ✦Superagents for automated workflows
- ✦GitHub sync and code export
- ✦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
- ✦AI code completion and suggestions
- ✦Natural-language code generation
- ✦In-IDE chat assistance
- ✦AI code review
- ✦IDE integrations (VS Code, JetBrains, etc.)
- ✦GitHub integration
- →Building internal admin tools quickly
- →Creating customer or ops dashboards
- →Prototyping data-driven apps
- →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
- →Building internal tools and dashboards
- →Launching websites and landing pages
- →Creating customer portals and CRMs
- →Deploying AI agents that automate tasks
- →Code generation, refactoring and debugging
- →Control AI spend with your own keys
- →Switch between frontier models per task
- →Keep code private and data-sovereign
- →Speeding up coding with AI completions
- →Generating code from plain-language prompts
- →Getting in-editor help and explanations
- →Reviewing pull requests with AI
- →Understanding unfamiliar codebases