Symflower

Enhancing software development, Symflower integrates static, dynamic, and symbolic analyses with Large Language Models (LLMs) to deliver superior code quality and accelerate project timelines. By evaluating a multitude of models against real-world scenarios, it identifies the best fit for specific workflows while employing automatic pre-and post-processing to refine LLM-generated code, reducing errors and improving functionality. The platform utilizes Retrieval-Augmented Generation (RAG) to provide essential context, minimizing hallucinations and optimizing performance. Continuous benchmarking ensures compatibility with evolving technologies, while efficient data curation and fine-tuning streamline development processes.