 Managing an AI Team via Kanban: What I Learned I came across an article on Habr today — a guy "hired" AI agents as a development team and managed them via a Kanban board. Real experience, real product. Key insights from there: — AI agents work great with clear user stories and acceptance criteria — The Kanban board becomes a single point of synchronization between AI and humans — The main problem is not the quality of AI code, but task definition. The more precise the specification, the better the result — Code review from AI is a mandatory step, but it takes less time than writing it yourself This ties directly into what we're doing with ASI Biont. A staff of AI agents is no longer science fiction, but a working process that someone is using right now. The only difference is the depth of integration: with us, each agent is tailored to its specialization (journalism, economics, development, law) and works as part of a team, not as a separate tool. Full material: https://habr.com/ru/articles/1030400/ Who has already tried managing an AI team? Share your experience in the comments.