Agentic Orchestration
Automates software development processes from issue analysis to PR creation using AI agents integrated with Claude Code.
Acerca de
This Model Context Protocol (MCP) server integrates an AI Agent system, built on Shikaku theory, directly with Claude Code. It automates critical software development workflows, including GitHub Issue management, code generation, review, and pull request creation. By orchestrating specialized AI agents, it streamlines the development lifecycle, enhances efficiency, and provides objective quality metrics, enabling a fully automated, AI-driven development pipeline.
Características Principales
- AI-driven Issue analysis and automatic label assignment (IssueAgent)
- 1 GitHub stars
- Automated code and test generation (CodeGenAgent)
- Static analysis, security scanning, and quality assessment (ReviewAgent)
- Automatic pull request creation with AI-generated descriptions (PRAgent)
- Task decomposition and agent selection for complex features (CoordinatorAgent)
Casos de Uso
- AI-assisted code generation and review for new features or bug fixes.
- Breaking down large project tasks into manageable sub-tasks for agent execution.
- Automating the entire software development lifecycle from issue to PR.
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