AI-DLC: AI-Driven Development Life Cycle – Reimagining Software Engineering

Events
  • Dec 18, 2025
  • 12:30 PM – 1:30 PM IST
  • Online

About the Webinar

For over 20 years, SourceFuse has been at the forefront of digital transformation, helping enterprises modernize systems, optimize development, and scale with innovation. As part of our continued investment in AI adoption and workforce upskilling, we’re reimagining how the Software Development Life Cycle (SDLC) evolves in the era of intelligent automation.

Join us for an exclusive session on AI-DLC: AI-Driven Development Life Cycle – Reimagining Software Engineering, where we’ll share our journey of embedding AI into every stage of SDLC, from development and QA to DevOps. You’ll gain insights into our AI-first engineering approach, learn how tools like ArcDBridge.ai and the ARC Platform are transforming traditional processes, and understand how organizations can responsibly adopt AI while maintaining enterprise-grade security and governance.

This session reflects our commitment to sharing our learnings and best practices with our customers, partners, and the wider tech community, helping teams everywhere build better with AI.

Key Highlights

  • Development: Learn to apply effective prompt patterns and strategically use tools like GitHub Copilot for quick tasks and ROO Code for complex, multi-file changes and large refactors.
  • Database Migration: Discover the power of the AI-Powered Database Migration Tool ArcDBridge.ai in transforming traditionally complex and error-prone migration processes. AI offers intelligent automation, automated discovery, dynamic schema mapping, and predictive validation to reduce risk and accelerate timelines.
  • QA/Testing: Automate test generation and boilerplate code using AI tools, accelerating your test automation efforts. We will show how to use Copilot with our in-house Model Context Protocol (MCP) server for tools like Robot Framework.
  • DevOps: Explore how the ARC Platform can enable a unified, flexible, and consistent approach to managing infrastructure, like Kubernetes clusters and servers, across various environments such as on-premises, edge, and multi-cloud.
  • Essential Guardrails: Understand the mandatory checks, like always testing AI-generated code and never including secrets in prompts to ensure quality and maintain security.

Speakers

Why Attend?

  • Learn how to embed AI at every stage of SDLC, that is, from code to cloud.
  • Learn from the experts at SourceFuse and gain practical insights from our 20+ years of engineering experience.
  • Discover how AI enhances test coverage, reduces human error, and accelerates delivery cycles.
  • See how AI-enabled DevOps can predict issues and optimize deployments.
Register Now