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Features
Upgrade Code efficiency with AI
Smoothly transitions to modern frameworks, such as moving from Java Servlets to Spring Boot.
Automate Language Version Upgrades
Make updates to newer language versions, ensuring compatibility and performance.
Easy Cross-Language Migration
Translate projects, like Ruby to Python, while preserving functionality and adaptability.
Maintain Compliance in Real-Time
Embed AI in CI/CD pipelines for consistent code quality and compliance monitoring during migration.
How it works
Start with a simple sign-up on Workik. Set up your project by importing your codebase and defining migration goals. Optionally integrate with GitHub, Bitbucket, or GitLab to add more context.
Workik's AI thoroughly analyzes your inputs, understanding its context and dependencies. Based on this analysis, it devises a detailed migration plan, outlining the steps and tools needed for an effective migration, whether it involves language translation, framework upgrades, or database shifts.
Leverage Workik AI's guidance and assistance for refactoring, code translation, and optimization, ensuring an efficient and accurate migration process.
AI helps in testing the migrated code for quality and functionality. Post-migration, AI provides a comprehensive review, offering insights into performance improvements.
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FEATURES
AI assists to modernize and optimize legacy code for current architectures.
Ensure functional and structural integrity during cross-language translation.
Deploy AI for database migration, focusing on data integrity and schema optimization.
Integrate AI tools in CI/CD pipelines for thorough code analysis & streamlined testing.
Utilize AI to manage and enhance cloud migration processes, from workload distribution to microservices orchestration.
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FEATURES
Workik AI simplifies complex migration into easy steps for beginners.
AI provides clear directions for smooth framework transitions.
AI assists in spotting and fixing common migration errors.
AI guides small-scale cloud migrations, demystifying cloud basics.
Directly utilize AI for efficient and error-free database transitions.
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TESTIMONIALS
Real Stories, Real Results with Workik
Workik AI made our Java to Microservices migration seamless. Its refactoring insights were invaluable.
Alice Johnson
Senior Software Engineer
For CI/CD during migrations, Workik AI is a game-changer. Automated testing and code analysis saved us hours.
David Smith
DevOps Engineer
Migrating databases with Workik AI was smooth and error-free. The data integrity and optimization tools are exceptional.
Rachel Green
Database Administrator
What kind of context can I add in Workik for migration?
Adding context in workik is optional. You can add any type of context to personalize AI response:
* Language and framework versions
* Database schemas and configurations
* API endpoints and specifications
* Cloud service details and credentials
* Legacy and target platform specifics
Can you list some popular use cases of Workik AI in code migration?
Following are some popular use cases but not limited to:
* Migrating legacy databases to cloud-based solutions
* Refactoring outdated code to modern programming standards
* Transitioning from monolithic architectures to microservices
* Upgrading API versions while maintaining system integrity
* Shifting applications between different cloud providers
How does automation in Workik AI aid in the migration process?
Automation in Workik AI significantly reduces manual effort. It automates tasks like code refactoring, dependency updates, and continuous testing, making the migration process faster and more error-proof.
How does Workik AI assist in maintaining data integrity during database migration?
Workik AI ensures data integrity by automating data validation checks, schema mappings, and query optimizations during database migration, preventing data loss or corruption.
How does Workik AI streamline the code migration process for teams?
Workik AI simplifies migration by offering team collaboration workspaces. Team members can share progress, divide tasks, and merge changes efficiently, ensuring a cohesive migration strategy.
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Code migration question & answer
Code migration involves transitioning codebases to newer languages, frameworks, or environments to leverage modern features and improve maintainability. It is crucial for upgrading language versions, migrating frameworks, moving to the cloud, and modernizing legacy systems.
Popular frameworks and libraries used in Code Migration are:
1. Python:
2to3, Modernize, Futurize
2. Java:
JDeps, PMD, JDT (Eclipse)
3. JavaScript:
Babel, jscodeshift, lebab
4. PHP:
Rector, PHP_CodeSniffer, PHPStan
5. C#:
.NET Portability Analyzer, Roslyn
6. Ruby:
Transpec, RuboCop
7. Database Migrations:
Flyway, Liquibase, Alembic
Popular use cases of Code Migration include:
1. Language Version Upgrades:
Upgrading codebases to newer versions of programming languages.
2. Framework Migration:
Transitioning from one framework to another (e.g., AngularJS to Angular, Rails 4 to Rails 6).
3. Cloud Migration:
Moving applications from on-premises to cloud environments.
4. Database Migration:
Changing the underlying database or upgrading the database schema.
5. Legacy System Modernization:
Updating legacy systems to use modern technologies and practices.
Career opportunities and technical roles available for professionals in Code Migration include DevOps Engineer, Systems Architect, Migration Specialist, Software Engineer (SWE), Software Developer Engineer (SDE), Database Administrator (DBA), and more.
Workik AI provides broad assistance for Code Migration, which includes:
1. Code Conversion:
Helps in the conversion of code from one version or language to another.
2. Refactoring Assistance:
Provides intelligent suggestions for refactoring code during migration.
3. Compatibility Checks:
Identifies compatibility issues and suggests fixes.
4. Testing and Validation:
Generates test cases to ensure the migrated code works as expected.
5. Documentation Updates:
Assists in updating documentation to reflect changes from the migration.
6. Performance Optimization:
Recommends optimizations to improve performance post-migration.
7. Database Schema Migration:
Helps in migrating and updating database schemas using tools like Flyway and Liquibase.
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