HOW WE MAKE AI CODING MORE COST EFFICIENT WITHOUT SACRIFICING TASK QUALITY

Summary from the TLDR DevOps newsletter

GitHub found that AI coding efficiency depends on minimizing unnecessary work across the entire task, not simply reducing tokens per tool call. Copilot improved efficiency by selectively compressing repetitive output, removing unused formatting, shortening prompts while regression-testing behavior, and delivering background results directly, collectively reducing cost and latency without measurable quality regressions.