Panel
summary
Discussion names handprint vs footprint and claims some AI use cases produce net savings while alarm‑clock style uses are pure footprint; an edge experiment shows offloading to a nearby server can be faster and greener when measured end to end; concrete actions include optimize slow DB queries, scope rewrites to high‑traffic pages, adopt static builders (Astro, Hugo) and CDN image optimisation using image formats like WebP and AVIF; cloud energy metrics remain unreliable and Motiva is working on procurement criteria.
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chapters (12)
- 0:00Green software introduction
- 0:26AI emissions impact
- 1:52AI positive use cases
- 3:16Trust in emission reports
- 5:27Edge vs centralized computing
- 8:22Developer steps to reduce footprint
- 10:30Green development guidelines
- 14:03Choosing frameworks
- 16:51Sustainable image-heavy sites
- 19:41Software sustainability changes
- 22:36TypeScript efficiency impact
- 24:22Closing remarks
