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Radio and PodcastLive Radio & PodcastsGenerative 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 a...
Context engineering: Tackling legacy systems with generative AI is an episode from ThoughtWorks Podcast by Thoughtworks. Generative AI can be incredibly powerful when it comes to legacy modernization. Not only can it help us better understa...
This episode belongs to ThoughtWorks Podcast.
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Published Aug 21, 2025, 40:41 long, audio available.
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'. 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 Chandirasekar Thiagarajan join hosts Ken Mugrage and Neal Ford to discuss how it works. They explain the process, the tools and what the work is teaching them about both generative AI and legacy modernization. Read Birgitta's blog post on reverse engineering with AI:
You can listen to Context engineering: Tackling legacy systems with generative AI online on Radio and Podcast. Open the player on this page to stream the available audio.
Context engineering: Tackling legacy systems with generative AI is an episode from ThoughtWorks Podcast by Thoughtworks.
This episode is 40:41 long.
This episode was published on Aug 21, 2025.
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You can listen to Context engineering: Tackling legacy systems with generative AI on this page when the episode audio is available from the podcast feed.
Context engineering: Tackling legacy systems with generative AI is from ThoughtWorks Podcast by Thoughtworks.
Published Aug 21, 2025 and 40:41 long