This narrative presents a compelling case for the democratization of AI tooling in software development, emphasizing customization and transparency over black-box solutions. The strongest version of this argument is that developers can—and should—take ownership of their AI assistants, tailoring them to individual workflows rather than accepting one-size-fits-all proprietary tools. The integration of open protocols like ACP and frameworks like Deep Agents lowers the barrier to entry, allowing eng...