Commit descriptions offer a check on AI-assisted code
A developer argues that writing the rationale personally can help verify that AI-generated changes match the intent behind them.
In an article published on Hacker News, a developer makes the case for writing commit descriptions personally when using AI coding agents. The practice, they argue, is a way to review both the code and the reasoning for shipping it.
The author says drafting descriptions for major changes used to take five to ten minutes. Explaining what changed and, more importantly, why helped readers understand the decision and gave the author a record to revisit later.
Writing also prompted a fresh look at the code. Summarising the changes led the author to reconsider decisions, sometimes resulting in a different or better implementation.
AI-generated descriptions pose a risk when an agent lacks context from project discussions or other sources. The author says it may supply a rationale that was never intended. Even with more context, a polished explanation does not establish that the code does what it claims.
The author recommends writing the description, especially its rationale, as a check on personal understanding. That can also surface temporary decisions and the conditions for ending them, details that may not be captured in code or available to an agent.
The argument reflects the author’s experience; the article provides no evidence measuring whether the practice improves software quality or review outcomes more broadly.
