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Many organizations across industries still rely on systems that were built decades ago – these systems work, but maintaining, developing or integrating them with modern solutions has become increasingly difficult. However, migrating legacy code is no small feat – it’s often costly, risky and time-consuming.
That’s why more and more companies are turning to AI migration tools, which can automate a large part of this process. Instead of years of manual rewriting and testing, these AI solutions can help you quickly analyze code, translate it into a modern language and generate production-ready output. But code migration isn’t the only area where specialized AI can be useful. Software Mind’s AI Modernization Toolkit speeds up digital transformations, enhances delivery and decreases workloads.
Read this article to find out how our AI Modernization Toolkit was created, how it supports companies in software modernization and where it makes the most impact.
What is Software Mind’s AI Modernization Toolkit?
The AI Modernization Toolkit is a customizable set of multi-agent tools that streamline different development stages, accelerate modernization initiatives and reduce costs. Implemented and managed by Software Mind’s experienced specialists, the AI Modernization Toolkit is calibrated to meet specific project requirements. Flexible and secure, it can be integrated into backend, frontend and testing to significantly cut down the time needed to upgrade digital solutions.
Here are the key capabilities of the agentic AI solutions included in the AI Modernization Toolkit.
Code migration
The AI Modernization Toolkit enables companies to accelerate code migration from legacy technologies to modern, cloud-ready environments like Java + Spring Boot or .NET.
The AI-assisted code migration starts with an existing legacy application (e.g., written in mainframe technologies such as COBOL, JCL and CICS or other legacy solutions such as Oracle Forms, PowerBuilder, Delphi and Visual Basic). The toolkit’s network of specialized AI agents trained on common migration patterns analyzes the code, identifies dependencies, translates business logic and code into a selected modern language, generates tests and proposes modern architectural solutions and UI components.
Each AI agent has its own area of expertise. One agent analyzes data structures, another handles control flow, and a different one translates legacy code instructions. What’s crucial is that these agents validate each other’s results, which creates a chain of self-improving iterations and ensures better accuracy. Additionally, Software Mind experts review, refine and oversee the process, ensuring high quality and business alignment.
The result of this implementation is clean, secure, production-ready code that meets modern standards.
Test generation
The AI Modernization Toolkit can boost test automation by automatically generating unit, integration and end-to-end (E2E) tests based on new code, using a test platform of your choice. When a developer adds code to a project, it triggers a team of AI agents to analyze the new code. The AI agents identify which parts of the code require coverage and decide on the appropriate types of tests (unit, integration, E2E) to generate. Each agent is responsible for a specific area: logic analysis, test scenario creation, code generation and quality validation.
For unit and integration tests, the AI Modernization Toolkit analyzes a codebase and automatically discovers which classes need to be tested to achieve requested coverage percentage. Its deep understanding of the code logic enables it to prepare a comprehensive list of test cases that cover every possible execution branch.
To generate E2E tests, the toolkit requires users to simply describe a business scenario in a natural way, without any technical details. Based on this information, it processes the requirements, navigates the application and prepares automated E2E tests using your preferred framework, such as Playwright, Cypress or Selenium.
Regardless of their type, the generated tests are automatically integrated within the project. Once the AI Modernization Toolkit is implemented, you can easily regenerate tests from the same business scenario with a single click or even automate this process with CI/CD.
UI-to-code conversion
The AI Modernization Toolkit can turn a screenshot of a user interface from any source (e.g., website, Figma or even a terminal screen) into clean React or Angular code. After a developer captures a screenshot of an existing UI view, AI agents analyze the screenshot, detecting layouts, components and styles. Then the toolkit transforms the visual design into maintainable code, which is automatically integrated with the project.
A live preview in a sandbox environment enables engineers to immediately test and validate the new UI, which matches the original layout, text and controls. Developers review the generated view, adjust as needed and quickly regenerate or refine the code with AI support. This way, you can customize the look of your new website any way you like – using industry-standard (Material UI, Ant, Bootstrap) components or your company’s own design system.
Challenges the AI Modernization Toolkit helps solve
Traditional code migration requires hundreds of developer hours, introduces the risk of human error and often results in underestimating time and cost. Our solution removes those barriers by:
- reducing migration time and cost,
- minimizing human error through multi-agent validation,
- empowering teams to focus on innovation instead of rewriting code.
The AI Modernization Toolkit also helps companies speed up other modernization initiatives. With specialized AI support, upgrading the frontend to a modern tech stack or increasing test automation can be significantly streamlined. Overall, AI-powered modernization empowers businesses to move on from legacy systems and avoid common issues like piling technical complexities, integration problems and limited opportunities for innovation.
How AI-driven modernization benefits companies
Our AI Modernization Toolkit has been created with effectiveness and varying business needs in mind. Because the toolkit is developed to manage specific tasks, its multi-agent AI structure leads to better performance than general-purpose AI. The involvement of our skilled software experts further ensures that the implementation process is smooth and that the AI-enhanced support delivers added value. The AI Modernization Toolkit also provides:
- Full customization – the toolkit can be adapted to the specifics of a given system and business needs. The generated output is made fully compatible not only with standard libraries and frameworks, but also proprietary technologies that a general-purpose AI doesn’t have access to.
- Security – the AI Modernization Toolkit operates in a controlled environment, with full auditability of changes and compliance with ISO standards.
- Seamless deployment – the toolkit enables integration with existing environments without disrupting ongoing operations and syncs with well-known frameworks and libraries.
By implementing the AI Modernization Toolkit, organizations also gain:
- Reduced workload through the automation of the most labor-intensive migration steps like code creation and testing,
- Significant time and cost savings by streamlining development and accelerating the migration process,
- Easier scalability of new applications due to implemented architecture upgrades and modernized code,
- Faster adoption of cloud-native technologies,
- Improved code security and quality, validated through testing.
How we built the AI Modernization Toolkit
The project was born from years of Software Mind’s experience with both mainframe systems and modern cloud architectures. We knew that no single neural network could handle full-scale code modernization, so we built an ecosystem of cooperating AI agents, each with a clearly defined role.
What sets our approach apart is continuous improvement and customizability – rather than performing a one-off translation, agents iteratively review and refine each other’s work to ensure the best possible outcome.
Where our AI Modernization Toolkit can be implemented
With its specific capabilities and training, the AI modernization toolkit is built to support companies from various industries in:
- Code migration (e.g., migrating from COBOL to Java) – it automatically translates business logic into modern languages and frameworks.
- Technology stack modernization – it helps move applications from outdated environments to the cloud.
- UI modernization – it can automatically recreate mainframe screens in React or Angular.
- Integration readiness – it generates APIs to enable smooth integration.
Speed up migration and modernization processes with a dedicated AI migrator
A digital transformation doesn’t have to be a long and painful process. With Software Mind’s AI Modernization Toolkit, companies can transition from legacy technologies to modern, cloud-ready solutions faster, more cost-effectively and with confidence. The combination of dedicated AI agents and the support of experienced specialists significantly streamlines the modernization process and makes it easier for businesses to embrace new solutions. As a result, their systems become more flexible and enable organizations to expand their offerings and gain a competitive advantage.
If you want to learn more about our AI Modernization Toolkit and book a demo, get in touch with our team here.
FAQ
What is the AI Modernization Toolkit?
The AI Modernization Toolkit is a proprietary set of tools developed at Software Mind to accelerate the modernization of frontend, backend and testing.
How can companies benefit from the AI Modernization Toolkit?
The AI Modernization Toolkit helps companies reduce workload, save time, decrease migration costs, enhance scalability and improve code quality.
Where can companies apply the AI Modernization Toolkit?
The AI Modernization Toolkit supports companies in code migration, tech stack modernization, UI modernization and integration readiness.
What challenges does AI-driven code modernization help solve?
AI-driven code modernization speeds up and streamlines the costly, complex and time-consuming process of migrating legacy code to a modern tech stack.
About the authorMateusz Mnich
Principal Software Engineer
Principal Software Engineer and Java Guild Master with more than 13 years of experience focused mainly on Java. Mateusz believes that to become the best, skills must be combined with passion, and this passion for his job is what drives him to never settle in expanding his knowledge and allows him to face and overcome the toughest challenges.
