Devin

Devin is an AI software engineer aimed at professional engineering teams and large organizations. It’s positioned as a hands-on coding agent that doesn’t just suggest edits, but actually carries out multi-step software tasks: planning changes, modifying code, running tests, and preparing pull requests. The primary value is reducing the manual workload on engineers, especially for repetitive or large-scale codebase work like migrations and refactors.

You interact with Devin through your existing workflow tools. According to the site, it integrates with Slack, Microsoft Teams, Linear, and Jira so you can assign tickets directly from the systems your team already uses. A typical flow is: create or route a ticket to Devin, review its proposed plan, let it implement and test the changes itself, then review the final PR in your normal code review environment. The Nubank case study shows that Devin can also be fine-tuned with project-specific examples and configured to run many subtasks in parallel, effectively acting as an on-demand AI engineering workforce.

Based on the available information, Devin is strongly agentic: it handles end-to-end coding workflows rather than just code completion. The Nubank example suggests it can learn from fine-tuned examples, build its own helper scripts, and improve speed and reliability over time, especially on repetitive patterns like large ETL migrations. It appears particularly well-suited to structured but complex work where tasks are similar across many files or services, and where human engineers can stay in the loop to review and approve changes.

However, there are important caveats. The site does not disclose which underlying AI models or infrastructure Devin uses, nor does it detail security, code privacy, or on-premise options—critical considerations for many enterprises. While the marketing highlights dramatic efficiency and cost savings at Nubank, your results will depend heavily on how well you can define tasks, the quality of example migrations, and your team’s discipline in reviewing its output. For small teams, hobby projects, or one-off, highly creative engineering tasks, Devin may be more than you need, and traditional code assistants might be sufficient. Pricing details are not provided publicly, so you’ll likely need to contact the company to understand costs and deployment options.