PRs and LLMs
The article discusses how modern LLMs can be used to write effective pull request descriptions by generating structured summaries of code changes. It highlights the benefits of saving developer time while maintaining clarity and consistency in PR communication.
Background
- The post argues that code review practices haven't adapted to the widespread use of LLMs (Large Language Models like ChatGPT or Claude) for writing code, creating a mismatch.<br/>- LLMs produce code that "looks right" syntactically but may be wrong semantically or architecturally—traditional reviews catch surface issues but not deeper problems LLMs introduce.<br/>- The author, Gerd Zellweger, is a software engineer and probably thinks about how LLMs change the software development lifecycle.<br/>- Key tension: PRs (Pull Requests) are designed for human-written code mistakes; LLM-generated code needs a different kind of scrutiny focused on logic, not style.