Before the widespread use of AI in coding, developers often wrote detailed commit descriptions for significant changes. This practice involved explaining both the "what" and, more importantly, the "why" behind code modifications. The goal was to provide comprehensive context for future readers and the developer's future self.
The process of writing these descriptions served as a reflective exercise. It prompted developers to re-evaluate decisions and sometimes led to improved code changes. This introspection was a key benefit, extending beyond merely documenting the code.
In the current era of agentic coding, AI can generate both code and commit descriptions. However, AI agents may lack the full context spread across various communication and project management tools, leading to fabricated reasoning in commit messages. This can result in misleading or incorrect explanations for code changes, making it difficult to understand the true intent later.
While providing AI agents with more context can improve the accuracy of their explanations, it does not address the reflective aspect of writing. A developer still needs to verify if the AI-generated code aligns with the description. Therefore, writing commit messages manually remains valuable for developers to reflect on AI-made changes and confirm their intended purpose, ensuring that the "why" is correctly articulated.
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A developer argues that writing commit descriptions manually, even in the age of AI-generated code and messages, serves as a crucial thinking tool. This practice helps developers reflect on code changes, verify AI-generated code, and ensure the "why" behind modifications is accurately captured, preventing misinterpretations later.