Automated PR risk scoring with LLMs (github.com)

PRScope has introduced an innovative tool for automated pull request (PR) risk scoring, streamlining code reviews with the power of large language models (LLMs). Instead of waiting for human reviewers, PRScope analyzes code diffs in less than a minute, providing an immediate structured review comment that includes severity ratings, risk assessments, and actionable suggestions. The tool supports various LLM providers such as OpenAI, Anthropic, and Ollama, allowing developers to customize their review settings without vendor lock-in, simply by pasting their API key and selecting a model. This development is significant for the AI/ML community as it enhances developers' workflows, making code reviews more efficient and effective. PRScope not only determines the risk level of changes but also offers praise for well-executed code, fostering a more positive review culture. Its functionality ensures comprehensive coverage with customizable review profiles, ranging from security-focused to strict code quality checks. As an open-source project licensed under MIT, PRScope encourages community involvement and further innovation, showcasing the potential of AI-driven solutions to transform traditional development practices.