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Point | gmStudio | manual-only |
|---|---|---|
Requires a properly trained LLM based on the detailed information from the legacy code and the required reengineering rules for optimal results | no | yes |
Teams may leverage gmStudio to prepare inputs to the AI and integrate outputs generated by the AI | yes | no |
Teams may leverage AI to assist with analysis, redesign, and verification | yes | yes |
Teams should have development skills in both the source and the target platforms | yes | yes |
Provides a flexible, deterministic, precise, and repeatable means of software transformation | yes | unlikely |
Typically require powerful hardware or SaaS | no | yes |
Can transform a collection of interrelated components as a coherent system | yes | unlikely |
May be driven by user-defined transformation rules | yes | unlikely |
Offers an extensible library of pre-built transformational rules | yes | unlikely |
Can process most large systems in less than 1 minute [1] | yes | unlikely |
Automates identifying and removing dead code | yes | unlikely |
Automates consolidating redundant code | yes | unlikely |
Automates customized COM API replacements | yes | unlikely |
Automates customized language transformations | yes | unlikely |
Automates integrating hand-written code | yes | unlikely |
Integrates easily with other DevOps tools | yes | unlikely |
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