AI-first pull request reviewer with context-aware feedback, line-by-line code suggestions, and real-time chat.
The development and adoption of an AI-first PR reviewer with these capabilities reflect a broader trend in leveraging AI to enhance productivity in software development. By automating and augmenting human reviews, these tools promise to not only speed up the development cycle but also potentially improve the overall quality and maintainability of software. However, this also necessitates a thoughtful approach to how such tools integrate into team dynamics, ensuring they empower rather than replace human insight and creativity in coding.
@coderabbitai AI lacks true intelligence. The core issue lies in its reliance on gradient descent, which only generates superficial correlations without real understanding. The narrative of AI as āintelligentā is a misleading illusion perpetuated by Silicon Valley. tinyurl.com/ai-correlationā¦
@coderabbitai Impressive! Context-aware feedback is a game-changer for code reviews. I can't wait to see how this streamlines our workflow.
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@coderabbitai @mollywebbxo I didnāt understand anything 𤨠but itās very interesting š¤
@coderabbitai What is this coding??
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@coderabbitai line-by-line code suggestions,...š¦¾
@coderabbitai I would say most code bases use a threadpool instead to manage threads. Also, multi threading requires making sure you are using safethread objects and methods. On the good side, it is good that it points out there might be an issue there, but the fix needs to be done by human.
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