Weijun-H commented on code in PR #18237:
URL: https://github.com/apache/datafusion/pull/18237#discussion_r2456631895


##########
docs/source/contributor-guide/index.md:
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@@ -175,3 +175,27 @@ The good thing about open code and open development is 
that any issues in one ch
 
 Pull requests will be marked with a `stale` label after 60 days of inactivity 
and then closed 7 days after that.
 Commenting on the PR will remove the `stale` label.
+
+## AI-Assisted contributions
+
+DataFusion has the following policy for AI-assisted PRs:
+
+- The PR author should **understand the core ideas** behind the implementation 
**end-to-end**, and is able to defend the design and code during review.

Review Comment:
   nit
   ```suggestion
   - The PR author should **understand the core ideas** behind the 
implementation **end-to-end**, and be able to defend the design and code during 
review.
   ```



##########
docs/source/contributor-guide/index.md:
##########
@@ -175,3 +175,27 @@ The good thing about open code and open development is 
that any issues in one ch
 
 Pull requests will be marked with a `stale` label after 60 days of inactivity 
and then closed 7 days after that.
 Commenting on the PR will remove the `stale` label.
+
+## AI-Assisted contributions
+
+DataFusion has the following policy for AI-assisted PRs:
+
+- The PR author should **understand the core ideas** behind the implementation 
**end-to-end**, and is able to defend the design and code during review.
+- **Calls out unknowns and assumptions**. It's okay to not fully understand 
some bits of AI generated code. You should comment on these cases and point 
them out to reviewers so that they can use their knowledge of the codebase to 
clear up any concerns. For example, you might comment "calling this function 
here seems to work but I'm not familiar with how it works internally, I wonder 
if there's a race condition if it is called concurrently".
+
+### Why fully AI-generated PRs without understanding are not helpful
+
+Today, AI tools cannot reliably make complex changes to DataFusion on their 
own, which is why we rely on pull requests and code review.
+
+The purposes of code review are:
+
+1. Finish the intended task.
+2. Share knowledge between authors and reviewers, as a long-term investment in 
the project. For this reason, even if someone familiar with the codebase can 
finish a task quickly, we're still happy to help a new contributor work on it 
even if it takes longer.
+
+An AI dump for an issue doesn’t meet these purposes. Maintainers could finish 
the task faster by using AI directly, and little knowledge is shared if the 
author does not intend to understand the solution.
+
+Please understand the reviewing capacity is **very limited** for the project, 
so such PRs might be closed or get redirected.
+
+### Better ways to contribute than an “AI dump”
+
+It's recommended to write a high-quality issue with a clear problem statement 
and a minimal, reproducible example. This can make it easier for others to 
contribute.

Review Comment:
   👍 



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