Sustainable Code QA and Fixes
GreenCode treats sustainability and energy waste as quality metrics, expanding on existing software quality analysis techniques to drive performance enhancement.
It analyses a code base for all quality issues, including indicators of long term maintainability problems, performance pinch points and energy wastage, reporting on these in familiar ways that can be actioned by software review teams.
Importantly however it goes beyond this to address the issues discovered, leveraging specialized Generative AI to perform well explained source code rewrites to resolve problems, vastly speeding up the time to market of upgraded software.
This automated quality and performance enhancement means that legacy systems can be maintained and improved with a fraction of the effort that is currently required, and that new works can be rationalized where necessary to resolve future quality and maintainability problems early.
Key Stats
The assessment and maintenance of new and legacy software is a significant issue that GreenCode addresses through its optimization processes, driving several important and valuable co-benefits of performing our sustainability optimization.
Companies blocked from digital transformation by legacy systems in 2023. (Accenture)
Cost of poor quality software in the USA in 2020. (CISQ)
Development Productivity Boost from Generative AI.
Amount of Developer Time Spent On Maintenance.
How Do We Fix This?
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