Devin

Devin is an AI software engineer designed to take on substantial engineering workloads. It doesn't just suggest code snippets; it autonomously plans and executes complex, multi-step tasks. You can give it a high-level objective, like migrating a legacy codebase or refactoring an entire module, and it will break the work down, write the necessary code, test it, and implement the changes. It operates with a high degree of independence, learning from examples and even building its own tools to improve efficiency on repetitive tasks.

What sets Devin apart is its ability to handle real-world engineering challenges at scale. The case study with Nubank highlights how it was fine-tuned on specific migration tasks, which doubled its completion rate and quadrupled its speed. It can manage a 'fleet' of agents to work on different parts of a project in parallel, providing full auditability for every change it makes. It also integrates into practical workflows like pull request review, where it can visually QA changes in a browser and intelligently organize code diffs for human engineers.

This tool is a major asset for engineering teams in large organizations burdened by massive, tedious modernization projects. It's ideal for teams needing to migrate millions of lines of legacy code, refactor monolithic applications, or automate the review of countless pull requests. By handling these time-consuming chores, Devin frees up human engineers to focus on more creative, high-level problem-solving and building new features for users.