TCS GenAI SDLC Assistant
Accelerating software development with generative AI-enabled, persona-based purposive agents contextualized with enterprise knowledge
Solution
Google Cloud
TCS-Google Cloud: Driving Innovation and Digital Transformation
Highlights
- Coding assistants generally address only the activities performed by developers. To maximize gains from such assistants across the entire software development life cycle (SDLC) value chain, they need to support not just developers, but also other personas that contribute to software development such as product owners, architects, test managers and DevOps engineers.
- Generative AI-powered SDLC Assistant is the perfect companion for all SDLC personas. It supports the activities and augments the output artifacts for every role involved in the SDLC cycle with contextualized knowledge.
- It augments the human potential to make informed decisions and build rich, granular, and quality content for artifacts like user stories, architecture, design documents, code, and test cases for application changes.
- With our robust solution, enterprises can accelerate software delivery, improve speed to production, and achieve higher efficiency while complying to enterprise guardrails on security, privacy, and responsible AI.
Overview
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 GenAI 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.
Solution
TCS GenAI 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 GenAI 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 GenAI 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 GenAI 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.
Unique differentiators:
- Agentic architecture: Provides a GenAI assistant using Gemini for every persona in the software engineering cycle
- Knowledge fabric: Synthesizes disparate knowledge islands within the enterprise, leveraging retrieval-augmented generation (RAG) and consolidates knowledge distributed across the enterprise to ensure the right enterprise context is built when using Gemini
- Toolchain integration: Fuses Gemini-augmented knowledge seamlessly into the toolchain specific to each persona within the enterprise’s SDLC toolchain
Benefits
Realize faster, high-quality software delivery, securely and at a reduced cost.
- Better developer experience: Enhances software developers’ productivity and satisfaction by streamlining workflows, enhancing collaboration, and minimizing friction in the development process.
- Higher efficiency: Automates activities across all SDLC phases such as generating code, creating user stories, producing and validating test cases, and writing deployment scripts.
- Faster speed to production: Accelerates the software development life cycle with easy access to enterprise knowledge for every persona, while allowing the creation of new and rich artifacts that are clear, precise, and detailed enough for smooth flow between personas.
- Compliance to enterprise guardrails: Utilizes the knowledge fabric with embedded standards, guidelines, and our responsible AI framework built around security, accountability, fairness, transparency, and information protection to increase compliance with an enterprise’s security, privacy, and responsible AI guardrails.
The TCS Advantage
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:
- Expertise in data, AI, and cloud: Excellence in AI requires a vast array of expertise, and our organization features more than 93,000 certified associates who are versed in the most cutting-edge data, AI, and cloud technologies.
- Rich contextual knowledge: Understanding the unique context in which AI operates is critical to its successful application. We enable customized frameworks for AI that are technically sound and attuned to our clients’ business environments.
- Continuous learning: TCS is devoted to continuous learning, ensuring our teams are always in sync with the latest AI advancements, ethical guidelines, and cybersecurity needs. This learning is woven into the fabric of our operations.
- Innovation culture: Innovation is the engine of progress in AI and our organization fuels this through a vibrant culture that encourages creative problem-solving. Experience zones for our associates to explore and experiment, hackathons, immersion days, and game days are just some of the platforms our talent uses to brainstorm and incubate ground-breaking AI applications.
- Strategic partnerships: Our belief in the power of collaboration has led us to forge a strategic partnership with Google Cloud. This alliance amplifies our capabilities, enabling us to deliver AI solutions that are technologically superior, ethically sound, and socially responsible.
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."
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