Explore LLM analysis of Git commits

[slavkof]

To improve ranking and previews of commits, investigate what can be achieved by using OpenAI API or similar to provide:

• Better context for commits -> Titles and Summaries
• Explanation of big commits
• Any additional analysis such as risk analysis

[slavkof]

https://towardsdatascience.com/classifying-source-code-using-llms-what-and-how-f04c7dbcba9b

[slavkof]

https://www.linkedin.com/pulse/detecting-code-vulnerabilities-large-language-models-llms-lingarkar/

[slavkof]

https://medium.com/@andrew_johnson_4/the-role-of-large-language-models-in-code-review-2b74598249ab

[slavkof]

https://startups.microsoft.com/blog/pitfalls-to-avoid-when-using-ai-to-analyze-code/

[slavkof]

https://github.com/facebookresearch/llama-recipes/blob/main/examples/Prompt_Engineering_with_Llama_2.ipynb?utm_source=twitter&utm_medium=organic_social&utm_campaign=llama&utm_content=video

[slavkof]

https://www.mercity.ai/blog-post/guide-to-integrating-tools-and-apis-with-language-models

[slavkof]

https://thesequence.substack.com/p/guest-post-evaluating-llm-applications?utm_source=post-email-title&publication_id=54309&post_id=142484844&utm_campaign=email-post-title&isFreemail=true&r=tkujf&triedRedirect=true&utm_medium=email

[slavkof]

https://www.ianww.com/blog/2023/05/21/prompt-engineering-framework