Skip to main content
Glama
README.md6.24 kB
# AutoDocs Development Workflow System **Status**: Planning Complete ✅ **Implementation Timeline**: 16 weeks (4 phases) **Target Users**: AutoDocs contributors and maintainers **Expected Impact**: 40% reduction in complex development task completion time ## Overview This directory contains planning and specifications for creating an intelligent **Development Workflow System** that streamlines AutoDocs package maintenance and development using **Claude Code agents and hooks**. This system coordinates complex development tasks like implementing features with tests, documentation, and deployment - similar to advanced IDE automation or development configuration tools. **IMPORTANT**: This is a **development environment enhancement** for people working **ON** AutoDocs, not a feature **OF** AutoDocs for end-users. ## What This System Does ### Core Problem Solved Currently, AutoDocs contributors must manually coordinate complex development workflows: - Implementing a new MCP tool requires updating core services + tests + docs + deployment - Bug fixes often span multiple system components requiring careful coordination - Release preparation involves version bumps + validation + changelog + deployment coordination ### Solution Approach The system provides intelligent workflow automation through **Claude Code agents and hooks**: - **Automatic task decomposition**: "Add export feature" → core services + tests + docs + validation - **Agent coordination**: Testing specialist ensures coverage while docs agent updates guides - **Development standards enforcement**: Automatic adherence to AutoDocs conventions and quality gates - **Cross-session persistence**: Development workflows survive Claude Code session restarts ## Implementation Architecture ### **Constraint-Driven Design** - **Claude Agents Only**: No external orchestration services - uses existing AutoDocs agents - **Hook-Based Coordination**: Development workflows triggered through Claude Code hooks - **File-Based State**: Development progress tracked in `.claude/dev/` directory structure - **Session-Boundary Aware**: Works with Claude Code session lifecycle limitations ### **Core Components** - **dev-workflow-manager agent**: Analyzes development requests and creates task breakdowns - **dev-coordination agent**: Manages cross-agent context and standards enforcement - **Development hooks**: Pre/mid/post-development validation and coordination - **File-based state management**: `.claude/dev/` directory for workflow persistence ## Key Use Cases ### 1. **Feature Development Coordination** **Scenario**: "Add query filtering to documentation search" **Workflow**: Analysis → Core services implementation → Test coverage → Documentation updates → Integration validation → Release coordination ### 2. **Bug Investigation & Resolution** **Scenario**: "Cache corruption on concurrent access" **Workflow**: Root cause analysis → Reproduction tests → Core fix → Regression testing → Documentation impact assessment → Deployment validation ### 3. **Release Preparation Automation** **Scenario**: "Prepare v0.5.0 release" **Workflow**: Version management → Testing validation → Documentation updates → Quality gates → Deployment coordination → Release completion ## Implementation Timeline ### **Phase 1: Foundation** (4 weeks) - Enhanced agent definitions with basic coordination capabilities - File-based infrastructure (`.claude/dev/` structure) - Simple sequential workflows with context handoffs ### **Phase 2: Enhanced Coordination** (6 weeks) - Parallel workflow execution and sophisticated agent assignment - Automated conflict resolution and quality assurance - Multi-stage validation and error recovery ### **Phase 3: Intelligence & Optimization** (4 weeks) - Workflow analytics and adaptive optimization - Advanced progress communication and user experience - Pattern learning and recommendation engine ### **Phase 4: Production Readiness** (2 weeks) - Comprehensive testing and performance validation - Documentation and training materials - Deployment readiness and security validation ## Expected Benefits ### **For AutoDocs Contributors** - **40% faster** complex development task completion - **Automatic coordination** between code, tests, and documentation - **Zero setup overhead** - works immediately with Claude Code - **Standards compliance** - automatic adherence to AutoDocs conventions ### **For AutoDocs Maintainers** - **Quality assurance** through multi-perspective validation - **Consistent workflows** across all contributors - **Reduced coordination overhead** for releases and complex changes - **Improved codebase quality** through systematic validation ### **For New Contributors** - **Guided development patterns** following AutoDocs best practices - **Automated quality checks** preventing common mistakes - **Clear workflow structure** for complex contributions - **Learning through example** via established patterns ## Directory Structure ``` TASK_GRAPH_SYSTEM/ ├── README.md # This overview document └── CLAUDE_AGENTS_PRODUCT_SPECIFICATION.md # Detailed technical specification ``` ## Getting Started 1. **Review the detailed specification**: Read `CLAUDE_AGENTS_PRODUCT_SPECIFICATION.md` for complete technical details 2. **Understand the constraints**: Claude agents and hooks only - no external services 3. **Validate feasibility**: Start with Phase 1 to test core assumptions 4. **Focus on concrete benefits**: Target specific development workflow pain points ## Strategic Value This system represents a novel approach to development workflow automation that: - **Leverages existing infrastructure** (Claude Code + AutoDocs agents) - **Requires zero additional setup** for contributors - **Provides immediate value** through workflow coordination - **Scales naturally** with the existing agent ecosystem The constraint-driven approach (agents and hooks only) may actually result in a more maintainable and user-friendly solution than traditional infrastructure-heavy approaches. --- **Next Steps**: Begin Phase 1 implementation with enhanced agent definitions and basic file-based coordination.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/bradleyfay/autodoc-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server