Generative AI Software Maintenance
Software maintenance is a difficult task under the best of conditions and the bigger and older the application the longer, more costly and more risky software maintenance tasks are to complete.
Legacy software contains significant technical debt by modern standards which has a direct impact on its TCO and its carbon footprint.
To reliably and robustly perform maintenance operations including refactoring for sustainability and energy efficieny we need to automate the process.
Stategic use of Generative AI within GreenCode brings significant benefits for those needing to maintain, port and optimise legacy code.
Key Stats
The costs of technical debt and addressing it in legacy applications are measured per line of code (LoC) and are extensive. Strategic use of Generative AI enables a faster time to market for updated solutions, at a lower cost and with reduced personnel. For particularly large applications it enables a level of review and refactoring unattainable in practical terms by human teams.
Average Cost of Technical Debt. (CAST)
Best Case in 100k LoC Application. (SonarQube)
Expected Refactoring Time (100k LoC).
Expected Refactoring Cost (100k LoC).
How Do We Fix This?
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