Devin Review: What the AI Software Engineer Ships and Misses

Devin is Cognition’s autonomous AI software engineer, designed to take scoped tasks from tools such as Linear, Jira, Slack, the CLI, or an API, work in a cloud environment with a shell, IDE, and browser, and open pull requests for human review. It is positioned for clearly defined bugs, migrations, dependency upgrades, and CI fixes, while Cognition advises breaking larger or open-ended work into smaller sessions. In 2026, Cognition added features including Devin Review, end-to-end desktop testing and recordings, Devin Desktop, hybrid-model routing, new SWE models, security scanning, and federal compliance support. Public GitHub data cited in the review shows Devin’s bot opened roughly 326,500 PRs, with 206,812 merged, 44,222 closed without merging, and 75,470 still open, though these figures exclude private and user-authored PRs and do not establish post-merge correctness. Devin can test a selected end-to-end flow and provide a recording, but this is described as a sanity check rather than full regression coverage, leaving broader CI, code review, and repeatable runtime tests to development teams. Devin Review is a separate AI code-review product that analyzes pull requests rather than writing them; in a limited benchmark, it matched 23 of 37 human-verified issues, including six of nine critical issues. Plans range from a limited free tier to enterprise usage-based agreements, while privacy controls allow paid users to opt out of training, although data may be used for training by default outside Enterprise arrangements.

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