World Congress 2024 • Aug 22, 2024 • Session details

Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions

Michael Niebisch

Translating legacy MATLAB to Python demands more than basic LLM prompts. Discover how Zeiss engineers conquered logic hallucinations using automated pipelines and cross-language debugging loops.

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Matching moments

2:20 min

Reverse engineering legacy codebases with large language models

Mateusz Gren

Mateusz Gren +1 · World Congress 2026 Europe

5:01 min

Leveraging large language models for code optimization and development

Stephan Gillich

Stephan Gillich +3 · World Congress 2024

46 sec

Using LLMs to reverse engineer undocumented legacy code

Michele Zuccala

Michele Zuccala +4 · World Congress 2026 Europe

5:25 min

Addressing core challenges in large language model deployments

Vijay Krishan Gupta +1 · LIVE

2:22 min

Decoding complex algorithms with large language models

Patrick Schnell

Patrick Schnell · World Congress 2025

3:05 min

Testing multi-agent artificial intelligence frameworks for code translation

Chris Heilmann

Chris Heilmann +9 · LIVE

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