World Congress 2025 • Aug 20, 2025 • Session details

Getting to Know Your Legacy (System) with AI-Driven Software Archeology

Stop dumping massive legacy codebases into standard LLM prompts. Instead, apply AI-driven software archeology to excavate git histories, untangle technical debt, and reveal hidden architectural intent.

Starting at 2:46 · Watch from the beginning

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Matching moments

6:27 min

Using AI copilots to explain and debug legacy codebases

Chris Heilmann

Chris Heilmann +2 · LIVE

1:57 min

Analyzing legacy systems using software data

Markus Harrer

Markus Harrer · World Congress 2021

3:03 min

Evaluating AI agents for iterative legacy code modernization

Michael Friedrich

Michael Friedrich · World Congress 2026 Europe

5:39 min

Managing legacy infrastructure and distributed software systems

Daniel Geisel

Daniel Geisel +1 · World Congress 2026 Europe

1:05 min

Modernizing legacy code repositories for robust artificial intelligence

April Yoho

April Yoho · World Congress 2026 Europe

2:20 min

Reverse engineering legacy codebases with large language models

Mateusz Gren

Mateusz Gren +1 · World Congress 2026 Europe

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Upcoming sessions on this topic

The 200,000 line code repository: My AI wrote 1000 lines. I needed 100.

Hardik Gupta

IBM

Software Developer

Modernize with Confidence: Secure Legacy Modernization in Action

Prince Kumar

IBM

Software Engineer

Beyond File Dumps: Context Engineering for Coding Agents

Animesh Dutta

Arm

Senior Software Engineer

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Senior Technical Product Manager

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