Generative AI (Gen AI) is not just another buzzword in the tech world; it's a game-changer. This revolutionary technology, powered by machine learning algorithms, doesn't just analyze existing data; it creates new content, from text to images and even code. Unlike traditional AI models that operate within predefined rules, Gen AI is a pioneer, offering a paradigm shift in deep learning capabilities.
Regarding application modernization, Gen AI can be a game-changer for businesses grappling with adapting their legacy applications to the demands of today's dynamic landscape. The benefits are clear: reduced costs, as Gen AI automates complex tasks and reduces the need for manual intervention; increased efficiency, streamlines integration with modern technologies; and improved user experience, as it can suggest design improvements based on deep learning capabilities.
Unveiling the Power of Generative AI in Application Modernization
Maintaining outdated applications is a perpetual struggle. The growing workforce, sophisticated technologies, and evolving user needs complicate the process, making legacy application modernization costly and time-consuming, especially as applications grow. The development of mobile applications of the same scale is challenging, and companies are experimenting with Gen AI to provide a much-needed quick solution that addresses these complex challenges and offers a path to efficient and cost-effective application modernization.
Gen AI is a superhero in application modernization and mobile app development, bringing significant relief. It automates complex tasks, intelligently suggests design improvements and streamlines integration with modern technologies. Let's explore the specific challenges it tackles:
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Rewriting complex, outdated codebases
At CirrusLabs, the advent of Gen AI has enabled us to achieve Automated Code Refactoring. Gen AI is a master at analyzing existing code and automatically refactoring it. Pattern recognition spots areas for improvement optimizes code structure and seamlessly introduces modern best practices. We have automated systems for analyzing redundant codes, identifying replaceable or upgradable sections within the code to optimize performance, and estimating the time taken.
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Integrating Microservices Architecture
Transitioning from monolithic applications to microservices can be a hurdle, especially when identifying optimal service boundaries and maintaining seamless inter-service communication. CirrusLabs has pioneered the art of transitioning seamlessly to microservices, which has become a necessity in the age of Software as a solution, concept, and product. We use Gen AI aids for decomposing monolithic applications by analyzing dependencies and usage patterns. It suggests service boundaries and communication protocols, empowering you to streamline the transition from monolithic applications to microservices.
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Leveraging Emerging Technologies
Integrating modern technologies like blockchain, IoT, or machine learning can be complex and time-intensive. This involves automatically creating code snippets, connectors, and interfaces tailored to the specific technology, minimizing manual adjustments. With the advent of generative AI by developers at Cirruslabs, transitioning to new-age technology and adopting lesser-known technologies for application modernization is a significantly easy task.
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Cross-Platform Compatibility
Ensuring seamless operation across diverse devices and operating systems remains challenging. Developers at CirrusLabs work on Cross-Platform Codes using Gen AI to understand different platforms and generate code that adapts to various environments, including mobile, web, and desktop applications, reducing the need for extensive manual modifications.
The Generative Advantage of Application Modernization
A recent survey revealed that 92% of organizations work on at least one application modernization project. Take IKEA, for instance, who experienced a 300% increase in online sales after modernizing payment processing in their e-commerce app. These figures highlight the growing importance of application modernization, and Gen AI emerges as a key catalyst for greater efficiency and innovation. Here's how it empowers businesses:
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Dynamic Scalability Optimization:
Gen AI analyzes app workloads and performance data to optimize code for dynamic scalability. It manages the app architecture to efficiently utilize resources, leading to optimal performance without manual intervention. With Application modernization projects, CirrusLabs has delivered above the promised expectations regarding scalability. They have created mobile apps that over 300K employees use.
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Application Decomposition:
Gen AI excels at decomposing monolithic applications. By understanding code dependencies and usage patterns, teams can break down complex applications into manageable components, facilitating a smoother transition to a microservices approach. Cirruslabs has an internal assessment tool that measures and predefines the efforts required for the system to work efficiently even before actual transitions occur. This helps estimate and quote prices much below the market values as our predictions have been smartly designed.
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Automated Regression Testing:
Gen AI strengthens automated regression testing by generating test cases covering various scenarios. This helps identify potential issues introduced during app modernization. Regression results are then combined with the capabilities of the Generative AI to produce solutions to these potential problems. This means quicker resolution and better customer satisfaction for the clients and stakeholders of CirrusLabs.
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Proactive Security Enhancement:
Gen AI scans legacy code for vulnerabilities and recommends secure coding patterns, proactively enhancing the application's security posture. This reduces risks associated with data breaches and unauthorized access and has come in handy for CirrusLabs, especially for high-profile clients requiring additional security.
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Efficient Resource Utilization in Cloud Environments:
Gen AI optimizes resource utilization for cloud application modernization by generating cloud-native code with platform-specific features, ensuring efficient use of cloud resources. This, combined with an elastic design model, helps the brand grow its cloud consumption and business growth. This not only helps companies pay as they grow but also helps them save costs effectively.
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Executable Design Generation:
Gen AI goes beyond theoretical design concepts to generate executable designs. It translates high-level requirements into functional prototypes, allowing developers to visualize and interact with tangible representations of the modernized application early on. This accelerates design validation and ensures alignment with end-user expectations. At CirrusLabs, we believe in developing uniform designs across all platforms, which makes us a design-first company in terms of our priorities.
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Automated Documentation Maintenance:
Gen AI automates documentation maintenance, keeping documents updated in real-time as code changes occur during modernization. This ensures accurate and up-to-date documentation aligned with the evolving codebase. As part of our delivery, every project is handed over to the client with detailed documentation for every step-by-step process involved.
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Input-Output Roadmap Planning:
Planning the input-output roadmap for app modernization is crucial. Gen AI generates a roadmap that outlines the optimal sequence for transforming data interactions within the application by analyzing data flows, input sources, and expected outputs.
CirrusLabs can help you leverage the power of Gen AI to reduce costs associated with app modernization, improve the efficiency of your development process, enhance the scalability and performance of your applications, and strengthen your apps' security posture.
Ready to see how Gen AI can transform your app modernization efforts? Contact CirrusLabs today for a free consultation!