FineCodeX

FineCodeX is a fine-tuned code generation tool designed to achieve high accuracy and privacy when generating and adapting code. Built by a team of experienced AI researchers and engineers from OpenAI, Anthropic, and Asana, FineCodeX emphasizes 4.2x accuracy improvements over prior models (e.g., Sonnet-3.5) and up to 9x lower costs with dedicated model usage. It provides private, on-premises style capabilities by offering model weights or a dedicated private API, ensuring that your data never leaves your infrastructure. The platform markets itself as highly accurate, fast, and privacy-focused, suitable for organizations and developers who require reliable code changes and minimal data exposure.

How FineCodeX Works

1. Fine-tuned model for code generation. Leverages a fine-tuned Llama-3.3-70B backbone to deliver higher accuracy on code-related tasks.
2. Discourse-focused evaluation. Demonstrated 4.2x likelihood of producing correct code changes on benchmark/discourse-like tasks.
3. Cost efficiency. Optimized usage can achieve up to 9x lower costs at approximately $0.7 per 1M tokens.
4. Private by design. Provides either model weights or a dedicated private API where data never leaves your infrastructure.

Use Cases

• Code generation and augmentation
• Refactoring and code fixes
• Domain-specific coding tasks with reduced latency and cost
• Secure environments requiring strict data privacy and control over model access

Safety and Privacy Considerations

• With on-premises or private API options, data never leaves your infrastructure.
• Users should validate generated code and integrate appropriate security reviews before deployment.

Core Features

• Fine-tuned code generation with 4.2x accuracy improvements
• High-quality code changes with lower operation costs (up to 9x cheaper)
• Private by design: model weights or private API with no data exposure
• Suitable for enterprise-scale usage and on-prem deployment scenarios
• Backed by a team from OpenAI, Anthropic, and Asana