Multica

Multica is a task manager that combines human work with the automation of code assistants, designed for development teams. Thanks to this program, you can centralize issue management, assigning tickets directly to virtual agents so they can write code, resolve bugs, and collaborate in the same panel as your developers.

Ticket assignment and lifecycle

The main screen incorporates a classic Kanban system similar to platforms like Jira or Trello, but with the distinction that here you delegate a large portion of the work to the AI directly. When you create a card with a detailed description of a bug or a new feature and assign it to an agent, it automatically adds it to its queue, begins executing the necessary code in the development environment, and moves it through the various progress columns completely autonomously. During the technical resolution of the issue, the assistants will write periodic comments in a thread to explain their logical decisions, propose design alternatives, and even open related subtasks if additional conflicts in your repository's code are detected.

Compatible models and local deployment

As for technical configuration and architecture, you can spin up the platform directly on your machine using isolated Docker Desktop containers optimized for macOS, keeping all your code repositories in a completely private environment. Unlike closed solutions geared towards line autocompletion like GitHub Copilot, here you configure your preferred language engine via the terminal or through the platform's own settings interface. You have complete freedom to connect powerful cloud-based command-line assistants like Claude Code and OpenAI Codex, or decide to run open-source models completely locally using Ollama to leverage the power of Apple Silicon family chips without being forced to rely on external servers or compromising your data.

Monitoring and live events

To keep track of the various automated actions happening in the background, you have a central activity console that conveys every event and compilation step in real time through very low-latency bidirectional connections. If you want to oversee the overall progress of a new product version, you can see how the traditional code submissions from your human colleagues intertwine in an orderly fashion with those from virtual software in real time. If an agent encounters an insurmountable technical dead end due to broken dependencies or external syntax errors, execution is instantly halted and it will flag the corresponding task with a visual block alert, leaving a detailed technical report of the errors so that you or any developer in your team can take immediate control and resolve the root conflict.

My experience with Multica

I installed the app container on my Mac and linked a local repository of a Python web project. I created a ticket requesting the implementation of a user registration system and assigned it to an agent connected via Ollama. A few minutes later, the agent accepted the ticket, generated the necessary files for the authentication routes, and left a comment with the configured endpoints. Then I created another task by introducing incompatible dependencies into the requirements file. The agent initiated the process, paused execution when it detected the failure, and tagged the card reporting the exact version conflict in the integrated chat.

What I liked most about Multica and what could be improved

· What I liked most: The ability to unify the work of humans and artificial intelligence in a single panel, while maintaining full control over local repositories.

· What could be improved: The initial learning curve to start the platform requires prior knowledge of the terminal and containers to configure it correctly in the desktop environment.

Download Multica and transform your development coordination by integrating autonomous agents directly into your usual project management.