Hexaware to Transform Software Engineering with AI-powered SDLC Solutions
Hexaware Technologies, a global provider of IT services and solutions,
has expanded its collaboration with Amazon Web Services (AWS) to deliver
AI-enabled software development lifecycle (SDLC) capabilities to enterprises
worldwide. This collaboration builds on Hexaware’s Strategic Collaboration
Agreement (SCA) with AWS to accelerate cloud adoption, application
modernization, and AI-led transformation.
The
collaboration will leverage Hexaware’s RapidX, an AI-driven platform for
software engineering, and Kiro, an agentic integrated development environment
(IDE) that helps teams move from prototype to production-ready code in a more
structured way. The solution focuses on delivering four key outcomes for
software teams: reducing time-to-market, improving developer productivity,
delivering production-ready code at scale, and modernizing legacy applications
without increasing operational risk.
“Our
clients want releases they can trust, even as they adopt AI in development,”
said Sanjay Salunkhe, President & Global Head – Digital and Software Services, Hexaware. “With RapidX and Kiro, we aim to bring more structure, standards,
and traceability into the SDLC so large programs can move faster without
increasing delivery risk.”
Key Highlights
· AI-powered Development Experience
o Virtual subject matter experts and
spec-driven development models help translate natural language requirements
into structured, production-ready implementations
o Enterprise SDLC experience and
agentic tooling in a single development workflow
· Enterprise-grade Security and
Governance
o Solutions to be deployed within
customer AWS environments with private LLM options via Amazon Bedrock
o Enterprise SecOps alignment with
organizational data residency, access controls, monitoring, and audit support
· Comprehensive SDLC Coverage
o From idea to release, covering
requirements gathering, backlog creation, design thinking, blueprinting,
coding, testing, and documentation
o Support for application
modernization, transition, and ongoing maintenance across complex application
estates
Leave A Comment