How we make AI coding more cost efficient without sacrificing task quality

Output quality is important when working with AI coding agents, but true efficiency comes from getting work done quickly, efficiently, and with the right context. That’s why token count of individual interactions alone isn’t a meaningful measure of efficiency. The goal shouldn’t be to use fewer tokens, but to tap into the right amount of context to move a task forward.