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Azure-Samples/Legacy-Modernization-Agents

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AI-powered COBOL to Java Quarkus modernization agents using Microsoft Agent Framework. Automates legacy mainframe code modernization with intelligent agents for analysis, conversion, and dependency mapping.

Is Azure-Samples/Legacy-Modernization-Agents beginner-friendly?

The maintainers of Azure-Samples/Legacy-Modernization-Agents usually reply to a pull request within 1 day. 2 beginner-friendly issues are open now.

Stars
216
Forks
94
Open beginner issues
2
Indexed issues
18
Avg merge
1d 4h
Merged PRs (30d)
29
Dominant language
C#
License
MIT
Last GitHub push
Sep 17, 2026
Latest indexed
Sep 15, 2026
No contributing guide
Code of conduct
Beginner labels
No beginner labels indexed

How to contribute to Azure-Samples/Legacy-Modernization-Agents

  1. There is no contributing guide, so start from the README and a few recently merged pull requests to see how changes are proposed.
  2. Read its code of conduct: it covers issues and pull requests as well as chat.
  3. Your contributions will be published under the project's MIT license.
  4. Pick one of the 2 open beginner-friendly issues below and comment that you want to work on it before you start.
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