Devin Review：用AI終結程式碼品質低落

Devin Review: AI to Stop Slop

As coding agents proliferate, the # of PRs increases, but the quality of that code can be mixed, and the size of each PR is increasing past maintainers' ability to understand. We're hearing from our customers that code review—not code generation—is now the bottleneck to shipping great products.

That's why we built Devin Review, a code review tool that uses state-of-the-art AI + UX to scale human understanding of ever-more-complex code diffs—whether authored by a human, or an agent.

Devin Review is currently free, while in early release, and works on any public or private GitHub PR. You can use it in three ways:

Check out the docs for more details.

The Birth and Stagnation of Code Review

15 years ago, GitHub set the standard for PR review... and then stopped there.

The first order problem with standard code review is well known - when PRs are small, they're easy to read and argue about. But this breaks down quickly for large reviews. We call this the "Lazy LGTM problem".

More broadly, the feeling that people have of extreme productivity with coding agents in their vibecoded prototypes, vs the disappointing feeling that most people actually see in the useful output of their engineers, organizations, and experience as end users, is the great mystery of our time.

To paraphrase Winston Churchill: "Never in the field of software engineering has so much code been created by so many, yet shipped to so few."

The Modern Code Review Workflow

Devin Review adds AI tooling to help you scale your PR understanding, so you quickly and fully understand the code you are about to merge.

As you review the PR, Devin helps you in every step:

This is a starting point, and we’ll be pushing frequent updates as our users keep telling us what they want. We hope you'll try out Devin Review and give us feedback!

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