TCS SDLC Assistant
Accelerating software development with generative AI-enabled, persona-based purposive agents contextualized with enterprise knowledge
Generative AI-powered SDLC assistants can be the perfect complement to developers and delivery personas, providing assistance to enhance the security, consistency, and dependability of the code, user stories, and other artifacts generated.
There has been increasing focus on leveraging coding assistants to enhance developer productivity, they impact only the developer activities and generally do not cover all software engineering phases such as requirements, user stories, and testing. To fully empower developers, their interactions with other key personas in the software engineering cycle such as product owners, architects, and test managers need to be simplified and integrated better. This can be achieved by equipping a developer with rich and granular knowledge about the application, new requirements, architecture, design, and other relevant changes.
When TCS SDLC Assistant supports personas covering the entire SDLC—developers, product owners, architects, test managers and DevOps engineers—it adds to the quality of the artifacts produced and helps in building superior software. In addition, it helps reduce the time a developer spends on non-development activities such as understanding requirements, architecture, or design and on decision making.
TCS SDLC Assistant, built on Google’s Gemini model, complements Gemini Code Assist and provides software development assistance to help teams build high-quality applications faster, better, and more securely.
TCS SDLC Assistant is the perfect companion for developers and delivery personas. It augments every role involved in the software engineering cycle in carrying out their daily responsibilities with contextualized knowledge, incorporated in a ‘knowledge fabric’.
The knowledge fabric is the backbone of TCS SDLC Assistant—woven with knowledge consolidated from across an enterprise. It brings together isolated information spread among different tools and data stores within the enterprise and builds a relation between these disparate data resources, to build the right context for Gemini. This enhances the accuracy of outputs and content generation from Gemini. The GenAI assistant, riding on the knowledge fabric and Gemini, augments the human potential to make informed decisions and build new, relevant, and rich content during every change cycle of the software.
When implementing TCS SDLC Assistant, TCS assesses an enterprise’s software engineering process and underlying toolchains. We design, develop, implement, and support an enterprise architecture that establishes a GenAI assistant customized for each persona and seamlessly integrated with the enterprise’s SDLC tools and processes.
Realize faster, high-quality software delivery, securely and at a reduced cost.
TCS helps organizations get the most from AI by leveraging a multi-layered strategy that creates a foundation designed to accelerate productivity, quality, innovation, and performance.
When you work with us, you stand to gain from our:
Nidhi Srivastava
Vice President and Global Head of Offerings, AI.Cloud, TCS
Experience the future of software development with TCS SDLC Assistant. By empowering every key persona with tailored AI agents and integrating them with an organization's processes, policies, and tools, we optimize the entire value chain—accelerating production, boosting efficiency, and enhancing the developer journey, while maintaining responsible AI standards."
Gabe Monroy
Vice President of Developer Experience, Google Cloud
Gemini 1.5 Pro, Google’s native multimodal AI model that powers Gemini Code Assist, offers the world’s largest context window to process large-scale documents, thousands of lines of code, and streamline updates with deep understanding. We’re excited to see partners like TCS bring in their own enterprise knowledge context to Gemini, empowering developers and boosting their productivity."