Video transcoding runs at scale in media pipelines, often with defaults nobody has profiled for energy.
The fix you can use today
Measure energy per minute of output for your real presets.
Profile the hot paths of the encoder you run, not just the settings.
Keep only changes that save energy with identical output quality.
GreenCode researchers found that an AI agent could cut the energy of 4K video transcoding by 28.4%.
Tools that help
GreenCode Constitution skill (GreenCode researchers): open-source energy principles and a catalogue of 37 energy anti-patterns that an AI coding agent can follow to find and fix waste like this
GreenCode Constitution profiler (profile.sh) (GreenCode researchers): a script from the Constitution tooling that measures the energy of a command from processor counters, GPU sensors and an optional smart plug, and writes the result as JSON
How GreenCode helps
GreenCode helps tackle this by publishing the Constitution for any team's AI agent to follow. The agent profiles the code, fixes ranked energy anti-patterns, measures again and keeps only the changes that save energy. More on this.
