
Julia Kordick
Julia is a Software Global Black Belt at Microsoft, helping large-scale organizations accelerate dev workflows through pragmatic, end-to-end platform engineering. With a background as a Software Engineer, Dev Lead, and Cloud Solution Architect, she speaks fluent developer and management—and knows how to bridge the gap without losing either side in translation.
She’s a big-picture thinker who also loves to understand the details. Web and frontend will always have a place in her ❤️.
Outside work, Julia is a gamer, a proud fahrradmaus, and a former quarterback for a women’s American football team (yes, really).
On Wednesdays, she smashes the patriarchy.
Agentic AI Can Modernize It. But can you Prove it Did?
AI Coding Summit Berlin
Upcoming
Agentic AI Can Modernize It. But can you Prove it Did?

Application modernization has always been hard. The hardest cases combine decades of complexity with missing knowledge, proprietary technology, hardware dependencies, unclear requirements, and systems that cannot simply be switched off. Agentic AI gives us a new chance to make these projects technically and economically viable. It can reconstruct knowledge, explore unfamiliar systems, and support modernization at a previously unrealistic scale. But producing modern code does not prove successful modernization. Agentic engineering is only as good as its verification mechanism. This talk shows how to assess a candidate, build the right context, define what good looks like, and modernize in controlled increments. We will examine a framework combining human judgment, AI based evaluation, and deterministic tests to create credible evidence that the new system actually works. The question is not whether agents can modernize a legacy system. It is whether we can prove that they did.