LLM‑Powered Sidekick for Painless PR Descriptions

说明与用途

Python脚本利用git diff和提交信息，通过GPT‑3.5‑Turbo‑0125生成上下文丰富的PR描述，节省开发者时间。

问题

Writing meaningful pull request descriptions after pushing code is tedious and often results in vague, context‑poor summaries.

结果

The script produces structured, context‑rich PR descriptions that save developers time and improve clarity.

工作流

• 1. Capture git diff via git diff main...HEAD using a Python subprocess.
• 2. Retrieve commit messages with git log main...HEAD --pretty=format:%s%n%b.
• 3. Combine commit messages and diff into a prompt for an LLM (gpt‑3.5‑turbo‑0125).
• 4. Ask the LLM to generate a title, summary, problem, solution, and changes sections.
• 5. Output the formatted description to clipboard or console.
• 6. Optionally integrate into editor or pre‑commit hook.

证据

I was using Python 3.10 for this little script, just because that's what my pyenv default was set to.

来源

For the LLM, I picked gpt-3.5-turbo-0125 for its speed and cost-effectiveness for initial experiments.

来源

I added a section for Commit Messages and Git Diff and tweaked the prompt instruction: Analyze the following commit messages and git diff. Based on this information, generate a detailed and context-aware pull request description.

来源