V MANOHARAN
When thoughtfully implemented throughout the software development lifecycle — from ideation to deployment — generative AI can deliver significant gains in efficiency, software quality, and reduction of resource waste (computing power, time, rework).
Frameworks like SusDevOps and strategies such as green code further help embed sustainability as a core principle within the SDLC.
However, responsible use is essential: we must monitor the energy consumption of AI tools, adopt more efficient algorithms, track the environmental footprint of supporting hardware, and ensure that AI does not replace the human understanding essential to meaningful development.
By doing so, we align innovation and sustainability to deliver software that creates a positive long-term impact.
