Multica: Assign issues to coding agents and track them like teammates (github.com)

Multica has unveiled an innovative open-source platform that streamlines the integration of coding agents into software development teams, allowing users to assign tasks to these autonomous agents just like they would with human colleagues. This platform facilitates a significant shift in workflow management, where agents actively participate in task execution, track progress, and report blockers, eliminating the need for constant manual oversight. By transforming coding agents into virtual teammates, Multica enhances collaboration between human developers and AI, promising to improve productivity and operational efficiency. This tool ensures comprehensive lifecycle management for coding agents, from task assignment to progress monitoring, and allows for the reuse of solutions as skills that benefit the entire team. The platform supports numerous runtimes, including Claude Code and Codex, and provides a unified dashboard for managing multiple workspaces and agents. With the ability to self-host the service and execute tasks autonomously, Multica empowers AI/ML professionals to scale their teams' capabilities, ultimately redefining how software development integrates AI technologies. This development is poised to resonate strongly within the AI/ML community as a step toward more effective human-AI collaboration in coding tasks.