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Discover how to streamline task management for AI agents without leaving your terminal in this 14-minute conference talk. Learn to implement Backlog.md, a terminal-based Kanban board that stores tasks as Markdown files directly in your Git repository. Explore how exposing main workflows and commands as MCP (Model Context Protocol) tools enables AI agents to efficiently move tasks from "To Do" to "Done" status while maintaining context and preserving important feature requirements. Master the integration of project management workflows with AI development processes, transforming chaotic side projects into organized, shippable tasks. Gain insights from Alex Gavrilescu's practical experience in backend and web engineering at Funstage GmbH, where he applies these techniques to support millions of free-to-play gamers while maintaining efficient development workflows.
