Jaden Shafer

They're just going to see Claude has come through, skimmed it, written a code review, highlighted any issues, kind of pointed out and given notes and they can go review just those notes or any sort of points of interest or concern that it might have.

So I think unlike a lot of other automated code tools that mostly focus heavily on formatting or style, Anthropic is intentionally designing code review to focus on logical errors, which is interesting.

Wu was commenting on this and said, that's really important.

A lot of developers have seen automated feedback before and they get annoyed when it's not immediately actionable.

We decided to focus purely on logic errors.

So we're catching the highest priority problems.

I think when an AI is going to identify an issue, it basically explains its reasoning step by step.

So it's going to actually outline what it believes the problem is.

And then it's going to say like,

This is why it matters.

This is how it can be fixed.

And by doing this, issues are going to be also labeled in severity.

So there's gonna be it's like, it's basically in a color coordinate it.

Red is like the critical problems.

Yellow is potentially an issue.

Purple is bugs that are kind of tied to historical or legacy code.

So

They kind of have this like color coding.

You can skim through it.

They're trying to make this fast and easy for developers to make their workflow more basically streamlined at all.