Context engineering: Tackling legacy systems with generative AI

<p>Generative AI can be incredibly powerful when it comes to legacy modernization. Not only can it help us better understand a large, aging codebase, it can even help us reverse engineer a legacy system when we don't have access to the complete source code. Doing it, though, requires a specific approach that's being described as 'context engineering'.</p> <p>This is something we've been exploring a lot in recent months at Thoughtworks. On this episode of the Technology Podcast, Thoughtworks' lead for AI-enabled software engineering, Birgitta Böckeler, and tech principal <span style= "font-size: 12pt;">Chandirasekar Thiagarajan</span> join hosts Ken Mugrage and Neal Ford to discuss how it works. </p> <p>They explain the process, the tools and what the work is teaching them about both generative AI and legacy modernization.</p> <p>Read Birgitta's blog post on reverse engineering with AI: https://www.thoughtworks.com/insights/blog/generative-ai/blackbox-reverse-engineering-ai-rebuild-appl...