Devin
VerifiedAI coding agent that automates large-scale code refactoring projects.
What is Devin?
Devin is a hosted AI agent designed for complex software maintenance work such as breaking down large monolithic codebases. It learns from past manual migrations to improve its performance on similar tasks over time.
Teams feed it examples of completed work so it can execute parallel subtasks like moving data classes, updating imports, and creating helper scripts. A human stays in the loop to review and approve changes while the agent manages the bulk of the repetitive effort.
It is intended for large organizations facing lengthy modernization projects that would otherwise require hundreds of engineers over many months.
Capabilities
What you can build with Devin
ETL Monolith Migration
Split multi-million-line centralized data transformation systems into smaller independent modules without distributing the work across an entire engineering organization.
Repetitive Refactoring at Scale
Automate thousands of similar code changes such as updating imports, handling country-specific extensions, and adjusting architecture patterns across a repository.
Fine-Tuned Task Acceleration
Improve speed and accuracy on domain-specific migration work by training on a company's own historical examples of completed refactoring tasks.
How to use Devin
- 1Visit the Devin website and request a demo or enterprise access.
- 2Connect your code repository and grant the necessary permissions.
- 3Provide sample migration tasks so Devin can learn your patterns.
- 4Define the overall project scope and assign batches of subtasks.
- 5Review and approve the agent's proposed changes through the dashboard.
Devin: pros & cons
Pros
- +Delivers large efficiency gains on high-volume repetitive coding work
- +Reduces overall project cost and timeline compared to manual effort
- +Improves with fine-tuning on company-specific examples
- +Builds its own helper tools for common mechanical steps
Cons
- –Requires initial fine-tuning and example data to reach peak performance
- –Still needs human review and approval for every change
- –Best suited for very large, repetitive migration projects rather than small tasks
Frequently asked questions
Engineers stay involved to define scope and approve changes, but the agent executes the majority of the individual refactoring steps.
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