LLM Prompt to Summarize 'Why' Changes in GitHub PRs, Not 'What' Changed
Published:Dec 28, 2025 22:43
•1 min read
•Qiita LLM
Analysis
This article from Qiita LLM discusses the use of Large Language Models (LLMs) to summarize pull requests (PRs) on GitHub. The core problem addressed is the time spent reviewing PRs and documenting the reasons behind code changes, which remain bottlenecks despite the increased speed of code writing facilitated by tools like GitHub Copilot. The article proposes using LLMs to summarize the 'why' behind changes in a PR, rather than just the 'what', aiming to improve the efficiency of code review and documentation processes. This approach highlights a shift towards understanding the rationale behind code modifications.
Key Takeaways
Reference
“GitHub Copilot and various AI tools have dramatically increased the speed of writing code. However, the time spent reading PRs written by others and documenting the reasons for your changes remains a bottleneck.”