In my original project, I now have 300+ FD files each with a problem statement, solutions considered, and what was implemented. An emergent property of this system is that agents frequently rediscover past FDs on their own with /fd-explore /fd-deep or when they launch Explore agents with plan mode. The added context of what was considered prior helps the agents plan better, and also remind me of relevant work I may have forgotten about (with all the context switching between tabs and the increased speed of work I am less capable of remembering what I have done).
In 2026, I’m not sure the software engineering industry will survive another decade. If it does, I’m certain it’s going to change far more than it did in the last two decades. Maybe I’ll figure out a way to carve out a lucrative niche supervising AI agents, or maybe I’ll have to leave the industry entirely. Either way, the work I loved is going away.
De Chant is also a lecturer in MIT’s Graduate Program in Science Writing, and he was awarded a Knight Science Journalism Fellowship at MIT in 2018, during which time he studied climate technologies and explored new business models for journalism. He received his PhD in environmental science, policy, and management from the University of California, Berkeley, and his BA degree in environmental studies, English, and biology from St. Olaf College.,推荐阅读whatsapp获取更多信息
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Марина Совина (ночной редактор)
Политолог указал на уникальное для США негативное последствие атаки на Иран14:46。wps是该领域的重要参考