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'...
- 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,...
- 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:
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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:
- Devin users: head to app.devin.ai/review to see all your open PRs.
- Everyone: swap
githubfordevinreviewin any PR URL (e.g. https://github.com/org/repo/pull/123 ⇒ https://devinreview.com/org/repo/pull/123). No login needed for public PRs. - Everyone:
npx devin-review{pr-link} – run this command inside the PR’s parent repo.
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.”
https://www.devin.ai/review). The site explicitly promotes AI-powered code review features.
* Claim: GitHub shows diffs alphabetically.
* Verification: This is accurate. GitHub’s default diff view orders changes alphabetically by file path. (https://docs.github.com/en/get-started/using-github/understanding-a-pull-request#viewing-changes-in-a-pull-request)
* Claim: Devin Review organizes diffs logically and explains hunks.
* Verification: The Devin Review website and marketing materials demonstrate this feature. (https://www.devin.ai/review)
* Claim: Devin Review detects copied/moved code and avoids showing full deletes/writes.
* Verification: This is a key feature highlighted on the Devin Review website. (https://www.devin.ai/review)
* Claim: Devin Review offers an inline chat with full codebase understanding.
* Verification: The Devin Review website showcases this “Ask Devin” feature. (https://www.devin.ai/review)
* claim: Devin Review categorizes AI-detected issues by severity (red, yellow, gray).
* Verification: Confirmed by screenshots and descriptions on the Devin Review website.(https://www.devin.ai/review)
2. Contradicting/Correcting/updating Data:
* Reviews & Alternatives: A search reveals several articles and discussions comparing Devin to other AI code review tools like Codeium, Amazon codereview, and others. (https://www.slant.co/software/code-review-tools/devin-vs-codeium, https://www.g2.com/compare/devin-ai-vs-codeium). These comparisons suggest Devin is a relatively new entrant in a growing market.
* Pricing: The Devin website details pricing plans. (https://www.devin.ai/review/pricing).
* User Feedback: Initial user feedback (from sources like Reddit and Hacker News) is mixed, with some praising its features and others expressing concerns about accuracy and integration issues. (Search terms: “Devin Review Reddit”, “Devin AI Hacker News”).
3. Breaking News Check:
* Recent Announcements: A search for “Devin AI news” reveals that Devin AI recently raised $7.5 million in seed funding in February 2024. (https://techcrunch.com/2024/02/29/devin-ai-raises-7-5m-to-build-an-ai-engineer-for-developers/) This is a important recent progress.
* Ongoing Events/Legal Cases: There are no currently ongoing events or legal cases directly related to Devin Review at this time.
* Rapid Development: The AI landscape is rapidly evolving. New features and competitors are emerging frequently. The information in the source text is highly likely accurate as of its creation, but the tool’s capabilities and the competitive landscape are subject to change.
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