Is there anything worse than a bug? inefficient legacy code! Not only does maintaining it terrify us, but it also requires more and more resources to function and worsens our carbon footprint! What if AI could come to the rescue?

It is well known that some programming languages are much more energy-intensive than others. For example, Python is about 76 times more energy-intensive than Rust or C. So, how can AI help us convert an old legacy project into a less energy-intensive technology?

We will explore the environmental impact of legacy code and how AI can be used to optimize this code. We will examine concrete cases where AI can automatically convert inefficient code into optimized code. And of course, this must be done without regression and without compromising maintainability.

Maybe for a small piece of code, but what about a large project? Let's discover autonomous AI agents together but they will work together to help us!

We will also conduct a practical demonstration of converting legacy Python code to Rust, showing the gains in energy efficiency and reductions in CO2 emissions.

Get ready to discover how AI can transform your legacy code into environmentally friendly code and take on the challenge of reducing the carbon footprint of digital technology!