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.

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

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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

AI at the Door, Turning ‘Tech Debt Panic’ into ‘Tech Debt Repairs’

Prerit Munjal

Groupon

Senior Technical Product Manager

The Developer’s Guide to the Agentic Git Forge: Agents That Remember

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Microsoft

Principal Product Manager

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