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Description

Confident AI has developed an open-source tool named DeepEval, designed to help engineers assess or "unit test" the outputs of their LLM applications. Additionally, Confident AI's commercial service facilitates the logging and sharing of evaluation results within organizations, consolidates datasets utilized for assessments, assists in troubleshooting unsatisfactory evaluation findings, and supports the execution of evaluations in a production environment throughout the lifespan of LLM applications. Moreover, we provide over ten predefined metrics for engineers to easily implement and utilize. This comprehensive approach ensures that organizations can maintain high standards in the performance of their LLM applications.

Description

Qodo, formerly Codium, analyzes your code to find bugs before you release. Qodo maps the behaviors of your code, identifies edge cases and tags anything suspicious. It then generates meaningful and clear unit tests that match the behavior of your code. You can see how your code behaves and how changes to your code affect the rest of the code. Code coverage is broken. Meaningful tests check functionality and give you the confidence to commit. Spend less time writing questionable tests and more time developing features that are useful to your users. Qodo analyzes your code, docstring and comments to suggest tests as you type. You only need to add them to your suite. Qodo focuses on code integrity. It generates tests that help you understand your code, find edge cases and suspicious behavior; and make your code more robust.