Featured Speakers

Rado Nikolov CAST
Rado Nikolov

EVP Software Intelligence

Rado leads product management for CAST’s software intelligence platform. Previously at IBM and MacDonald Dettwiler he managed middleware products and developed mission-critical applications.

Ribhu Kansal CAST
Ribhu Kansal

VP Consulting

Over the past two decades, Ribhu has helped large enterprises modernize mission-critical systems and tackle technical debt. Today, he applies AI + CAST to automate and dramatically accelerate tech debt remediation at scale.

Executive Summary

By 2027, Gartner predicts that 80% of technical debt will be architectural, as AI code assistants increasingly resolve code-level issues. At the same time, GenAI-generated code can itself introduces new architectural debt – particularly in how components interact across layers and technologies.

Architectural debt is the most difficult to address and the most impactful to business outcomes: 90%* of major production incidents – affecting reliability, security, and performance – stem from flawed software structures.

In this session, you’ll learn how to:

  • Track and prioritize tech debt across your application portfolio
  • Identify architectural debt in your most critical applications
  • Equip AI tools with deterministic context to remediate existing debt and prevent new issues

Includes a live demo and Q&A with the speakers.

* How to deliver resilient, secure, efficient, and easily changed IT systems, Richard Soley, OMG Chair