<ul><li>In this tutorial, we'll build an AI assistant that can analyze PR diffs and provide meaningful code reviews.</li><li>We will be using LiteLLM to handle our interactions with language models and Agenta for instrumenting the code, which helps debug and monitor apps.</li><li>Prompt Engineering is focused on refining prompts and comparing different models using Agenta's playground.</li><li>To evaluate the quality of our AI assistant's reviews and compare prompts and models, we need to set up evaluation using LLM-as-a-judge.</li><li>Deployment is straightforward with Agenta. You can either use Agenta's endpoint or deploy your own app and use the Agenta SDK to fetch the production configuration.</li><li>For the frontend, v0.dev was used to quickly generate a UI.</li><li>Tools such as refinining the Prompt, handling large Diffs, and adding more context can be used to further enhance the AI assistant.</li></ul>

Build an AI code review assistant with v0.dev, litellm and Agenta

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