Token Saving & Compression: A Practitioner’s Review

AI coding agents burn tokens on things they don’t need to see in full – verbose logs, entire files read for one function, repeated context across turns. A wave of tools now attacks this from different angles: some rewrite noisy output before it reaches the model, some compress what’s already in context, some change what … Continue reading Token Saving & Compression: A Practitioner’s Review →