GitHub Copilot cuts AI coding costs

GitHub Copilot reduced model-inference cost by roughly 5% in offline benchmarks by removing unused line-number prefixes from file reads. A meta-prompting loop halved task-tool prompt length, cutting about 1,300 tokens per turn. Selective output compression and batched completion notifications also improved efficiency without quality regressions.