Legacy software keeps businesses running, but updating it is slow, risky, and expensive. What if AI could read, map, and modernize millions of lines of code in days instead of months? How can organizations move faster without breaking what already works?
In this episode of Full Tech Ahead, Amanda Razani talks with Ray Ploski, Vice President of Corporate Strategy and Marketing at CoreStory. Ray shares how his team is using AI to unlock the hidden value inside decades-old systems through their innovative “code-to-spec” technology. Drawing from years of experience in software strategy and AI-driven transformation, he explains how CoreStory is helping enterprises modernize complex codebases with speed, accuracy, and confidence—turning legacy software into a foundation for future growth.
TIMESTAMPS
[0:02] Ray Ploski’s Role and CoreStory’s Rebrand
[0:39] How “Code-to-Spec” Changes Software Development
[2:37] The Challenge of Legacy Systems and Modernization
[3:55] Why Context and Business Continuity Matter
[5:59] CoreStory’s AI-Powered Code Intelligence
[7:12] The Limits of ChatGPT for Enterprise-Grade Code
[9:11] Natural Language Programming: The Future of Development
[10:30] Preparing Businesses for the Shift to Spec-Driven Development
[11:24] Final Thoughts on AI’s Role in Modernization
[12:20] Closing Reflections and Takeaway
Quotes
- “Our ability to generate code outpaces our ability to understand it. CoreStory turns code into knowledge.” – Ray Ploski
- “Speed means nothing if it breaks what works. You can modernize fast, but if your business continuity suffers, you’ve lost the point of modernization entirely.” – Ray Ploski
- “AI hallucinations are real and dangerous. You need confidence, accuracy, and visibility into what AI can’t know.” – Ray Ploski
- “The next generation of software will use natural language. Systems will code themselves from clear goals.” – Ray Ploski
Takeaways
- Use AI to understand and document legacy systems before making changes.
- Prioritize accuracy and confidence in AI results over speed and automation.
- Prepare teams for a future where natural language drives software creation.
Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/
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