Java Upgrades
Upgrade your Java applications to the latest versions with ease
COBOL Modernization
Modernize legacy COBOL to current technologies
SAS to PySpark Migration
Migrate SAS analytics workflows to modern PySpark infrastructure
JavaScript → TypeScript
Migrate JavaScript to TypeScript for improved type safety
NoSQL to SQL Migration
Migrate NoSQL to SQL for data consistency & relational integrity
Clear Engineering Backlogs
Let Devin tackle your engineering backlogs across GitHub, Jira, and Linear
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.
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:Parallel Tasks
Parallel Tasks
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.
Clear Instructions
Clear Instructions
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.
Verification Methods
Verification Methods
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.
Use Case Library
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 UpgradesProgramming 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
Code Migrations
JavaScript → TypeScript, PySpark Conversions
Mainframe Migrations
COBOL/SAS to Python/Java
Cloud Platform Migrations
AWS to Azure, GCP migrations
Database Code Migrations
MongoDB to PostgreSQL, DynamoDB to MySQL
Bespoke Migrations
In-house frameworks or libraries
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
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 EnforcementVulnerability Remediation
Address vulnerabilities, code smells, and errors from automated scan reports. SonarQube Guide
Internationalization
Implement multi-language support, centralize language files
Code Standardization
Enforce consistent error handling, style guides, and coding standards
Type Safety
Add static typing and type annotations
Style Enforcement
Implement and enforce code style guides and best practices
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
Documentation
Automate documentation maintenance and logging coverage
Feature Cleanup
Remove obsolete feature flags and code paths
Production Deployment
Transform development artifacts into production services
Agent Integration
Use Devin as a backend for internal agents