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Trae
✓ verifiedFreemium
Trae AI-powered IDE for developer collaboration; notable ByteDance-backed dev product.
👁 2.3M/mo
Pricing
Foundation: $13 per user per month (annually)
Growth: $25 per user per month (annually)
Pro: $42 per user per month (annually)
Business: $59 per user per month (annually)
Enterprise: $79 per user per month (annually)
Community: Free
Professional: $36
Team: $75
Enterprise: Custom
No public pricing
No public pricing
Free trial available
Core features
- ✦Sales automation
- ✦Email and calendar syncing
- ✦Pipeline management
- ✦Reporting and analytics
- ✦Marketing automation
- ✦Engagement tools
- ✦Notebooks for analysis and modeling
- ✦App Builder for interactive visualizations
- ✦AI-powered assistance for query generation and code writing
- ✦Collaboration and sharing tools
- ✦Integration with data warehouses and other tools
- ✦AI Agents
- ✦Tool Integration
- ✦Context Awareness
- ✦Smart Autocompletion
- ✦Local Data Storage
- ✦Secure Data Access
- ✦Enhanced Context Engineering for deep codebase analysis and adaptive memory
- ✦Intelligent Agents for autonomous planning, coding, and testing
- ✦Spec-Driven Development for clarifying requirements and automating execution
- ✦Intelligent Codebase Search and Advanced Repository Insight
- ✦Context-aware code completions and next-edit suggestions
- ✦Support for leading AI models (Claude, GPT, Gemini)
Use cases
- →Managing customer relationships and interactions
- →Automating sales tasks to improve efficiency
- →Tracking sales performance and forecasting revenue
- →Creating targeted email marketing campaigns
- →Engaging with leads and customers through web chat and SMS
- →Exploratory analysis
- →Data science
- →Operational reporting
- →Self-serve data tools
- →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
- →Delegating complex software development tasks to AI agents for autonomous completion.
- →Performing multi-file code edits and refactoring through natural language chat.
- →Gaining deep architectural understanding of a codebase to resolve issues with precision.
- →Generating unit tests, code explanations, and uncovering codebase architecture.
- →Systematically tackling software development tasks from planning to testing.
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