AI Usage Report

We used AI tools (Primarily ChatGPT) for:

Sprint 0

• Refining report: structuring and clarifying meeting notes and research insights to produce the report
• Researching existing solutions
• Formatting text and improving grammar of docs files
• Helping with converting written text into MD format
• Formating the meeting transcript

Sprint 1

• Generating site on GitHub Pages for the documentation: setting up MkDocs configuration, GitHub Actions workflow, and creating the documentation site structure
• Transcribing and summarizing the meeting recording
• Providing guidance how to set up GitHub Porjects
• Structuring and formatting meeting documents

Sprint 2

• Formatting and summarizing meeting notes
• Guidance and notes on how to write sprint retrospectives
• Providing assistance with writing action points and constraints

Sprint 3

• Comparing summaries from experiments with and without repository URL context
• Writing methodology section for context impact experiment
• Analyzing and documenting results and conclusions from diff summary quality experiments

Sprint 4

• Formatting and summarizing meeting notes
• Providing tips on which features can improve customer experience

Sprint 5

• Guidance and notes on how to do the spring grooming
• Providing assistance with developing and testing the new features supported (in particular, changing the LLM used for the primary service).

Sprint 6

• Guidance how to improve product backlog
• Assistance in token logs implementation
• Summarizing the meeting transcript
• Formatting the written texts