Reducing the Carbon Footprint of Legacy Code with AI

Is there anything worse than a nasty bug? Yes: inefficient legacy code. Not only does its maintenance terrify us, but it also consumes ever more resources and increases our carbon footprint. What if AI came to the rescue? How can it help us migrate an old legacy project to a more energy-efficient technology?

We will explore two approaches:
- converting source code written in an energy-hungry language into a more performant one
- identifying, measuring, and optimizing the “hotspots” of an existing project

Finally, we will assess whether the effort is worthwhile: did we actually save more energy with our optimized code than the amount consumed by the AI to achieve it?

Get ready to discover how AI can transform your legacy into code that is both more performant and more environmentally friendly.