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Pricing
No public pricing
No public pricing
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
No public pricing
Free trial available
Free: USD X per user/month up to 5 users
Standard: USD 3.00 per user/month 1-100 users
Premium: USD 6.00 per user/month 1-100 users
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
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- ✦Developer-first platform for AI-powered integrations
- ✦Secure, isolated sandboxes for running JavaScript/Python code
- ✦Automatic management of npm/PyPI dependencies
- ✦Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
- ✦Yep Agent (prompt → runnable processes)
- ✦MCP Server/Tools (convert code into AI agent tools)
- ✦Serverless runtime (YepCode Run) and SDK 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)
- ✦CI/CD
- ✦Cloud Security
- ✦DevSecOps
- ✦Code Review
- ✦Jira Integrations
- ✦AI-powered features (PR descriptions, generative AI editing, Atlassian Rovo)
- ✦Merge checks
- ✦Security vulnerability monitoring
- ✦Platform-level CI/CD orchestration
- ✦Granular access and usage permissions
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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- →Building complex API integrations that require custom code and logic beyond what no-code tools offer.
- →Safely running AI-generated scripts in isolated environments with secrets management.
- →Automating workflows that require large datasets, loops, branching, or custom dependencies.
- →Connecting AI agents to external databases, APIs, and services using MCP tools.
- →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.
- →Managing code repositories and version control
- →Automating CI/CD pipelines for software deployments
- →Conducting code reviews and ensuring code quality
- →Integrating with Jira for issue tracking and project management
- →Enforcing code quality policies and compliance requirements
- →Monitoring and fixing security vulnerabilities
- →Orchestrating CI/CD workflows at a platform level
- →Simplifying software navigation with developer portal (Compass)
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