Claude code can make you productive faster than it makes you knowledgable.
热度趋势
趋势数据积累中
百分比基于当前可用热度信号，而非评论数或独立用户人数。
Claude 相关模型动态已经出现，适合跟踪能力变化、生态影响和后续可用性。
一位开发者在使用Claude代码时，发现难以保持对项目的心智模型。尽管Claude提高了生产力，但开发者担心最终会拥有一个自己几乎不理解的代码库。他们正在寻求其他人的解决方案，并强调减少Claude的使用并非理想答案。
Something i've been struggling with lately is keeping my mental model of a project intact while using claude code heavily.
Before AI, if i built a feature myself i naturally understood most of the decisions because i had to make them.
Now i can get through several changes in a day, review the diffs, see that everything works, and still realize a week later that i don't understand that part of the system as well as i thought i did.
That's starting to feel like a real tradeoff of AI assisted development.
The obvious answer is "review the code properly", but even reviewed code doesn't stick in your head the same way as something you spent hours designing and implementing yourself.
I've started slowing down after larger changes and writing a short explanation of what changed, why it changed and what assumptions the new code depends on.
Interested in how other people are dealing with this because i don't think the solution is simply using claude less. The speed is useful. I just don't want the codebase to eventually become something i technically own but barely understand.