Case Study

Improving Software Development Lifecycle by 30% with Tata Elxsi's TE Bluefairy

GenAI Powered Platform for Greater Productivity and Improved Quality

Multi-agent model

30%

Reduction in Time-to-Market

20%

Cost Savings in Development and Maintenance Processes

30%

Enhancement in Software Quality

Background

The software development landscape is becoming increasingly complex with businesses facing heightened pressure to deliver high-quality products within shrinking timelines. Traditional development processes are often plagued by extended cycles and inconsistent software quality, which are further compounded by the intricacies of modern software systems.

Industries across sectors face significant challenges in Software Development Lifecycle (SDLC) such as prolonged development cycles, inconsistent software quality, manual coding and testing leading to increase in the risk of errors. Step into the future with Tata Elxsi's TE Bluefairy, a full-stack GenAI powered industry agnostic Software Development Life Cycle (SDLC) platform. By integrating Large Language Models (LLMs) and a multi-agent framework, TE Bluefairy automates key stages like agile project planning, code generation, and testing, to ensure efficiency and enhanced software quality development fostering productivity and efficiency.

Challenge

Tackling time and precision challenges, as well as the increased complexity in modern software systems without compromising quality, were key areas that needed to be addressed.

The solution had to seamlessly integrate with advanced technologies within existing software development frameworks, ensuring reliable performance even under the demanding conditions of a fast-paced industry.

The incorporation of the GenAI-driven Software Development Life Cycle Tool, TE Bluefairy, offers a streamlined, error-reduced process that enhances adaptability and maintains a competitive edge, embodying a unified approach to addressing the complexities of modern software development.

Solution

Our TE Bluefairy isn't just a platform, it's a comprehensive solution designed to automate and streamline various stages in the software development lifecycle processes using Generative AI Agents.

By harnessing the power of GenAI and LLMs, TE Bluefairy helps enhance productivity and improve software quality. It addresses the following solution tenets:

Generates artifacts like project architecture documentation, code structure, boilerplate code, code review, test cases, etc., which can be used as starting points for jumpstarting the development process. It uses Agentic workflow architecture and state-of-the-art LLM models to automate the requirement-to-design and coding phases of the software development lifecycle.

The IDE plug-in with a multi-agent workflow integrates seamlessly into existing workflows, offering significant cost and time savings while improving the consistency and quality of deliverables.

Solution
SDLC
LLM

Impact

By developing this comprehensive GenAI solution at scale, TE Bluefairy can be deployed across industries that rely on complex software development lifecycle processes.

TE Bluefairy is expected to deliver a 30% reduction in time-to-market, enabling faster product delivery. Additionally, software quality is projected to improve by 30%, with a 25% decrease in defects, ensuring more reliable and robust solutions.

Efficiency gains are anticipated to be substantial, with a 35% reduction in manual effort and improved resource utilization throughout the software development lifecycle. Furthermore, the integration of generative AI is projected to lead to 20% cost savings in both development and maintenance, making the overall process more cost-effective.

Services rendered

  • Multi-agent model orchestration
  • Large Language Models (LLMs) integration for project planning
  • Customised solution development

Attention

Attention

This website is best viewed in portrait mode.

We Use Cookies

When you visit a website, it may store or retrieve information in the form of cookies on your browser. This information may pertain to you, your preferences, or your device and is mainly used to ensure that the site functions as expected.

For additional information Cookie Policy

We Use Cookies