Emdash is an open-source agentic development environment that enables running multiple coding agents in parallel. It benefits developers and operations teams by automating coding tasks, integrating with providers like Claude, and connecting to workflows such as Git, Jira, and Linear. Emdash supports containerization with Docker and Git worktrees, allowing for efficient parallel execution of agents.
git clone https://github.com/generalaction/emdash.gitEmdash is an innovative Open-Source Agentic Development Environment designed to empower developers by allowing them to run multiple coding agents in parallel. This skill integrates seamlessly with various providers, making it versatile for different coding environments. With an intermediate implementation difficulty, users can set up Emdash in approximately 30 minutes, allowing teams to quickly leverage its capabilities for enhanced productivity. The key benefits of Emdash include the ability to automate the development of multiple features simultaneously, which significantly accelerates project timelines. By utilizing different coding agents, teams can manage dependencies and environment setups in isolated worktrees, streamlining the entire development process. Although specific time savings are not quantified, the efficiency gained from parallel execution and automated task assignments to coding agents can lead to substantial reductions in overall development time. Emdash is particularly beneficial for developers, product managers, and AI practitioners who are looking to optimize their workflow automation. It supports various use cases such as integrating with project management tools for automatic task assignments and reviewing code changes side-by-side with integrated diff tools for improved collaboration. Additionally, it enhances the testing process by enabling parallel test runs across multiple coding agents, which is crucial for maintaining high-quality code in fast-paced development environments. With its intermediate complexity, Emdash fits well into AI-first workflows, allowing teams to harness automation effectively. As organizations increasingly adopt AI automation, skills like Emdash become essential for maximizing productivity and ensuring that development processes are both efficient and scalable. By adopting this skill, teams can focus on innovation and problem-solving, rather than getting bogged down by manual coding tasks.
1. **Define the Task**: Clearly outline the coding task you want to automate. Be specific about the tools and languages involved. 2. **Set Up Agents**: In Emdash, create agents for each part of the task. Assign the appropriate tools and tasks to each agent. 3. **Configure Integrations**: Ensure that Emdash is integrated with the necessary tools like Git, Jira, or Linear. This can usually be done through the Emdash dashboard. 4. **Run the Workflow**: Execute the workflow in Emdash and monitor the progress. Use the dashboard to track the output of each agent and troubleshoot any issues. 5. **Review and Optimize**: After the workflow completes, review the outputs and make any necessary adjustments. Optimize the workflow for future runs by refining the tasks and integrations.
Automate the development of multiple features simultaneously using different coding agents.
Integrate with project management tools to automatically assign tasks to coding agents.
Review code changes side-by-side with integrated diff tools for better collaboration.
Manage dependencies and environment setups for various coding agents in isolated worktrees.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/generalaction/emdashCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a workflow in Emdash to automate the following coding task: [DESCRIBE TASK]. Use [NUMBER] parallel agents to handle different parts of the task. Each agent should be configured to use [SPECIFIC TOOLS/LANGUAGES]. Ensure the workflow integrates with [SPECIFIC INTEGRATIONS] like Git, Jira, or Linear. Provide a step-by-step plan for setting up this workflow in Emdash.
To automate the task of updating API documentation for a microservices project, we can create a workflow in Emdash with the following setup: 1. **Agent 1: Documentation Reviewer** - Tool: Claude - Task: Review existing API documentation for inconsistencies and outdated information. - Output: A markdown file with suggested changes. 2. **Agent 2: Code Analyzer** - Tool: Python Script - Task: Analyze the codebase to extract API endpoints, parameters, and response formats. - Output: A JSON file with API specifications. 3. **Agent 3: Documentation Updater** - Tool: Git and Markdown Processor - Task: Update the API documentation based on the suggestions from Agent 1 and the specifications from Agent 2. - Output: Updated markdown files committed to the Git repository. 4. **Agent 4: Jira Ticket Creator** - Tool: Jira API - Task: Create Jira tickets for any unresolved issues or additional tasks identified during the documentation update. - Output: Jira tickets created and linked to the relevant Git commits. **Workflow Setup in Emdash:** - Create a new workflow in Emdash and add the four agents as parallel tasks. - Configure each agent with the specified tools and tasks. - Set up integrations with Git, Jira, and Claude. - Run the workflow and monitor the progress in the Emdash dashboard. This workflow ensures that the API documentation is consistently updated, and any issues are tracked in Jira for further action.
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