AI code generators

Poly-Coder is an open-source AI code generation model developed by researchers at Carnegie Mellon University. The team behind Poly-Coder includes:​

Frank Xu – Ph.D. student in the School of Computer Science​
Uri Alon – Assistant Professor in the Machine Learning Department​
Graham Neubig – Associate Professor in the Language Technologies Institute​
Vincent Hellendoorn – Assistant Professor in the School of Computer Science

These researchers introduced Poly-Coder in March 2022 as a multilingual code generation model based on OpenAI's GPT-2 architecture. It was trained on a dataset of 249GB of code spanning 12 programming languages, including C, Python, JavaScript, and Java. Notably, Poly-Coder demonstrated superior performance in generating C code compared to other models, including Codex.​
Carnegie Mellon University
2022
United States
1 Industry
1 Language
Industries
  • Information-technology-services
Licensing & Deployment
Support
  • Email
  • 24x7 Support

Poly-Coder Core Features

Focus of AI Code Generator Feature
  • Code Autocompletion & Snippet Generation
  • Code Refactoring & Optimization
  • Code Review Assistance
  • Context-Aware Suggestions
  • Custom Prompt Tuning
  • IDE Integration
  • Multi-Language Support
  • Natural Language to Code Conversion
  • Real-Time Syntax & Error Checking
  • Scalability & Collaboration Tools
  • Security & Compliance Awareness
  • Support for Frameworks & Libraries
  • Test Case Generation

Poly-Coder Pricing

Pricing Type
  • Free
Preferred Currency
  • USD ($)
Payment Frequency
  • Monthly Payment

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