---
title: "Comment by Evelyn Wyatt on \"What happens when a coding agent forgets why a change was rejected?\" | Hashnode"
description: "The idea of preserving rejected decisions is especially interesting because it captures a form of “negative knowledge” that Git usually can’t represent. A codeb"
url: "https://hashnode.com/posts/what-happens-when-a-coding-agent-forgets-why-a-change-was-rejected/6aa015bcbe03d2ac71a46645/comment/6aa0e727e99fc7f995215587"
---

[Discussion](https://hashnode.com/posts/what-happens-when-a-coding-agent-forgets-why-a-change-was-rejected/6aa015bcbe03d2ac71a46645)

Comment [What happens when a coding agent forgets why a change was rejected?](https://hashnode.com/posts/what-happens-when-a-coding-agent-forgets-why-a-change-was-rejected/6aa015bcbe03d2ac71a46645)

[Evelyn Wyatt](https://hashnode.com/@Evelynwyatt)

[Sep 9](https://hashnode.com/posts/what-happens-when-a-coding-agent-forgets-why-a-change-was-rejected/6aa015bcbe03d2ac71a46645/comment/6aa0e727e99fc7f995215587)

The idea of preserving rejected decisions is especially interesting because it captures a form of “negative knowledge” that Git usually can’t represent. A codebase can show what the team chose, but not necessarily which alternatives were tested and ruled out. For coding agents, that context could prevent not only repeated mistakes but also repeated investigation. It makes project memory feel less like storing explanations and more like preserving the reasoning boundary around the code.

[Oliver Zehentleitner](https://hashnode.com/@oliver-zehentleitner)

[Sep 9](https://hashnode.com/posts/what-happens-when-a-coding-agent-forgets-why-a-change-was-rejected/6aa015bcbe03d2ac71a46645/comment/6aa0e727e99fc7f995215587#reply-6aa107fd2051bcec610d9080)

Exactly. “Negative knowledge” is a great way to put it.

The code tells you what survived, but not what was explored and deliberately discarded. And for agents, that missing history means spending time rediscovering the same boundary over and over again.

That was probably the most interesting part of the experiment for me: the agent didn’t need to become smarter — it just needed access to the reasoning that was already there.