@XAMTO_AI: Previously, with AI coding, I was always in a 'human-supervising-tool' mode—completing one task before moving to the next, like an assembly line worker. Multica has revolutionized this collaboration approach. It's not merely a code generator that requires constant prompting, but a virtual colleague engineered to autonomously accept tasks and proactively report progress. You simply need to on the kanban...

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Summary

Multica is an open-source workspace designed to transform AI coding agents into virtual colleagues that can autonomously accept tasks and report proactively, thereby changing how developers collaborate with AI tools.

Previously, when using AI for coding, I was always in a 'person watching the tool work' mode, running one task at a time and moving to the next like an assembly line worker. Multica has refreshed this collaboration method. It's not just a code generator that needs to be constantly awakened, but a virtual colleague designed to take orders autonomously and report proactively. You just need to clearly outline the requirements on the kanban, and it will start working; if it encounters blockers, it will sync with you on its own. Tasks shift from 'you driving' to 'it taking initiative', eliminating the need to feed instructions at every step Progress updates in real-time on the kanban, so you don't have to repeatedly ask 'is it done?' Every problem solved is documented, essentially building the team's default experience continuously Supports mainstream tools like Claude Code and Codex, and allows for one-click private deployment locally via Docker Address: http://github.com/multica-ai/multica…
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