Audience

Software developers wanting a solution to improve software quality and build their applications

About Symflower

Symflower enhances software development by integrating static, dynamic, and symbolic analyses with Large Language Models (LLMs). This combination leverages the precision of deterministic analyses and the creativity of LLMs, resulting in higher quality and faster software development. Symflower assists in identifying the most suitable LLM for specific projects by evaluating various models against real-world scenarios, ensuring alignment with specific environments, workflows, and requirements. The platform addresses common LLM challenges by implementing automatic pre-and post-processing, which improves code quality and functionality. By providing the appropriate context through Retrieval-Augmented Generation (RAG), Symflower reduces hallucinations and enhances LLM performance. Continuous benchmarking ensures that use cases remain effective and compatible with the latest models. Additionally, Symflower accelerates fine-tuning and training data curation, offering detailed reports.

Integrations

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Company Information

Symflower
Founded: 2018
Austria
symflower.com

Videos and Screen Captures

Symflower Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online

Symflower Frequently Asked Questions

Q: What kinds of users and organization types does Symflower work with?
Q: What languages does Symflower support in their product?
Q: What kind of support options does Symflower offer?
Q: What other applications or services does Symflower integrate with?
Q: What type of training does Symflower provide?

Symflower Product Features

Software Testing

Test Case Management
Issue Tracking
Variable Testing Methods
Reporting / Analytics
Static Testing
Dynamic Testing
White-Box Testing
Black-Box Testing
Manual Testing
Automated Testing
Quality Assurance Planning