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Testing Strategies for Web Development Code Generated by LLMs

Large Language Models (LLMs) can automate the development process by producing a substantial amount of web application code in just a few minutes. Nonetheless, it is important to bear in mind that these models are pattern-based and not deterministic.  Work in the domain of AI programming assistants shows that AI-based code often exhibits security vulnerabilities in real-world testing. A study on GitHub's features showed that approximately 40% of the generated code was susceptible to security iss

ExternalSoftware Engineering
GitHub Changelog

AI credits consumed per user now in the Copilot usage metrics API

The Copilot usage metrics API now reports how many AI credits each user consumed per day, derived from the same AI credits consumption data used in the usage-based billing API.… The post AI credits consumed per user now in the Copilot usage metrics API appeared first on The GitHub Blog.

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