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Our customers achieve 6-12x efficiency gains when leveraging Devin effectively. This guide explains how to maximize Devin’s productivity and showcases use cases Devin has successfully completed for our customers.

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What Makes a Good Use Case for Devin

The best enterprise use cases are large, high-business value projects that can be broken into isolated, repetitive tasks. Each project should have:
Breaking down large projects into smaller, repetitive subtasks takes advantage of Devin’s unlimited parallel capacity and leads to the greatest efficiency gains. For example, upgrading tens of thousands of Java files can be divided into isolated slices, each tackled by an individual Devin session.
Devin excels when provided clear guidance on how to complete each task. Always include how to structure the solution, what to test, and relevant context such as existing patterns, constraints, and dependencies.
Devin works best when it is able to easily and objectively verify if it has successfully completed the assigned task. This might include checking the CI passes, running unit tests, or testing user flows in the browser.

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Use Case Library

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Codebase Modernization

Legacy codebases and technical debt impose a persistent toll on developer productivity and introduce security vulnerabilities, compliance risks, and integration challenges. With Devin, modernization projects that would have taken years can be accomplished in months or weeks. Version & Framework Upgrades

Programming Languages

Java 8 to 17, Python 2 to 3, PHP 7.x to 8.x

Frontend Frameworks

Angular 16 to 18, React 16 to 18

Backend Frameworks

Spring Boot 2.x to 3.x, .NET Framework to .NET 6/7/8
Technology Migrations

Code Migrations

JavaScript -> TypeScript, PySpark Conversions

Mainframe Migrations

COBOL/SAS to Python/Java

Cloud Platform Migrations

AWS to Azure, GCP migrations

Database Code Migrations

MySQL to MongoDB, BigQuery to SparkSQL

Bespoke Migrations

In-house frameworks or libraries
Architecture Modernization

API Modernization

SOAP to REST/GraphQL, improve logging, rate-limiting, refactor endpoints

Database Modernization

Move business logic from stored procedures to application layer

Code Organization

Monorepo to submodule conversions, extract common code into libraries

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Continuous Code Quality

By automating engineering best practices like vulnerability remediation, adding comprehensive test coverage, and ensuring consistent code quality, Devin empowers engineers to focus on strategic decisions and new feature development. Standards Enforcement

Vulnerability Remediation

Address vulnerabilities, code smells, and errors from automated scan reports

Internationalization

Implement multi-language support, centralize language files

Code Standardization

Enforce consistent error handling, style guides, and coding standards
Testing & Validation

Test Generation

Auto-generate integration tests, unit tests, etc.

QA Testing

Write QA tests and perform automated QA testing

PR Review

Automatically review and suggest changes on pull requests
Codebase Maintenance

Documentation

Automate documentation maintenance and logging coverage

Feature Cleanup

Remove obsolete feature flags and code paths

Production Deployment

Transform development artifacts into production services
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