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Meeting Script

Prepared Questions

  • What do you think about the prototype?
  • Will payment be through an inputted Gemini token?
  • Should we have a context file before we send to LLM?
  • How do we handle large diffs?
  • Does the product backlog look valid to use
  • What should we have ready for next week? (further steps)

Taken Notes

  • With UV you can have a script that can simulate the environment without using uv (reduce command)
  • Using an LLM: here is file a and here is file b and show me the difference.
  • We can build a first step by using a command that fetches all the files that changed in a specific period or by using dates.
  • We use the fetched information to build a context file that we can later send to the LLM
  • Initial task (manual testing without CLI): Using python build two versions of a file and see how can the LLM summarise the diff.
  • Large files: check number of lines/tokens before sending to LLM (up to 10000 token) and we get a warning exceeding it.
  • We take a workable token from the user and store it locally to use
  • Product backlog feedback: Grooming backlog Another direction for our project: research summarization methods (more LLM related)