"AI Engineering Buddy" is a comprehensive platform designed to augment developers throughout the entire software development lifecycle. Available in web, plugin, and CLI versions, it leverages advanced large language models (LLM) from Bedrock, ensuring a highly efficient and productive development environment. Our platform is built on a responsible AI framework, promoting ethical and effective AI use, and is entirely configuration-driven, offering a self-service ecosystem for developers. The platform augments existing AWS code whispher , by bringing it automation and augmentation to work acorss multiple files at same time.

Consulting Services - Zensar offers consulting services specifically designed to support organizations in their onboarding process with AWS Bedrock. These services encompass a wide range of areas, including guidance on setting up isolated ecosystems within the IT landscape, establishing effective governance structures, implementing comprehensive data security and privacy measures, and addressing people, process, and legal considerations to consume Generative AI. By incorporating best practices in AWS Bedrock LLMS, Zensar assists organizations in creating their own customized ""AI Engineering Buddy"" ecosystem.

Legacy modernization/Technology Transformation – • Migrate legacy platforms to modern architectures. • Translate complex business logic into microservices. • Convert database objects into services-based code. • Perform technology stack upgrades. • Reduce technical debts through code rewrites. • Generate comprehensive documentation for code and business use cases. • Rapidly transform front-end code into responsive web design (RWD) and progressive web applications (PWA). • Ensure code coverage and maintain high code quality from Day 1.

Green-field platform/product engineering – . • Selecting the appropriate technology stack, solution design, and low-level components. • Providing guidance in strategic and execution planning. • Uncovering unexpected challenges that may arise during the project lifecycle. • Determining the optimal project size. • Promoting secure coding practices right from the incubation phase. • Generating test cases and test data to ensure comprehensive testing coverage.

Co-innovation Engineering partner – • Generating alternative solutions for ideas generated, expanding the possibilities. • Validating and evaluating concepts to determine their viability. • Assisting in the selection of suitable tools and frameworks. • Generating multiple design approaches to explore different options. • Conducting proof of concepts across different technologies. • Providing upskilling and learning plans for large-scale implementation.

Efficiency driver in Maintenance & Testing projects – By leveraging the capabilities of the AI Engineering Buddy, engineers can generate test cases, enhance code coverage, add comprehensive documentation, improve code maintainability, refactor code for optimal quality, and efficiently identify technical debt and bugs. This collaborative approach with the AI Engineering Buddy enables organizations to achieve potential benefits of 15% to 20% improvement in delivering value to customers. Through the AI Engineering Buddy's guidance, developers and testers can streamline their workflows, optimize code quality, and enhance customer satisfaction by delivering high-quality solutions. Tech Debt Reduction & Next-Gen AMS: AI Engineering Buddy helps reduce technical debt through software upgrades, security patch implementations, and compliance with industry standards. Additionally, it supports UI acceleration, transforming legacy UI into next-gen frameworks and integrating a collaborative chat workspace for seamless interaction."