Devs flag token waste as top AI coding bottleneck

The effectiveness of AI coding agents is currently gated more by context economics than their pure reasoning capabilities. Context windows are rapidly consumed by verbose imports and framework boilerplate. Strict token limits restrict the ability of agents to handle complex multi-file integrations. This highlights a growing need for intermediate representations or more token-efficient coding paradigms for agents.