DinCoder

# DinCoder Feature Analysis Summary **Date:** 2025-10-04 **Analysis Session:** Roadmap Planning & Gap Identification --- ## ✅ Research & Planning Complete I've completed a comprehensive analysis of DinCoder's feature gaps and created a detailed roadmap for supercharging it as a Spec-Driven Development MCP server. Here's what I've delivered: ### 📄 Two Key Documents Created **1. [FEATURE_ANALYSIS.md](FEATURE_ANALYSIS.md)** - Comprehensive gap analysis covering: - Current state (14 tools) vs GitHub Spec Kit (9 commands) - **5 Critical Missing Features**: constitution, clarify, validate, refine, prereqs - **6 Important Features**: task visualization, filtering, contracts, templates - **5 Nice-to-Have Features**: idea capture, metrics, batch operations - Features that DON'T translate to MCP (collaboration, external integrations, IDE features) - Community ideas from GitHub discussions (diagrams, sub-agents, task tracking) - MCP-specific design principles **2. [ROADMAP_UPDATED.md](ROADMAP_UPDATED.md)** - Detailed 4-phase implementation plan: ### 🎯 **Phase 1: Core Completeness (v0.2.0)** - 2 weeks 5 new stories, 7 new tools: - `constitution_create` - Project principles/constraints - `clarify_add/resolve` - Track spec ambiguities - `spec_validate` - Quality gates - `spec_refine` - Iterative improvement - `prereqs_check` - Environment validation **Total tools after Phase 1:** 21 ### 🚀 **Phase 2: Workflow Enhancement (v0.3.0)** - 2 weeks 5 new stories, 6 new tools: - `tasks_visualize` - Dependency graphs (Mermaid) - `tasks_filter/stats` - Query tasks by phase/type - `tasks_tick_range` - Batch operations - `diagram_generate` - Embed diagrams in specs - `idea_capture` - One-liner to project **Total tools after Phase 2:** 27 ### 🔬 **Phase 3: Advanced Features (v0.4.0)** - 3 weeks 5 new stories, 7 new tools: - `contracts_generate` - OpenAPI/GraphQL from specs - `templates_customize` - Custom templates - `project_bootstrap` - Full orchestration - `metrics_report` - SDD analytics - `spec_lint` - Automated quality checks **Total tools after Phase 3:** 34 ### 💎 **Phase 4: Polish & v1.0 (v1.0.0)** - 3 weeks - Complete existing stories 17-23 - Performance optimization - Error handling improvements - Template library expansion - Integration examples **Timeline to v1.0.0:** ~10 weeks (2.5 months) --- ## 🔑 Key Insights ### What Makes DinCoder Different Unlike GitHub's Spec Kit (CLI for humans), DinCoder is **purpose-built for AI coding assistants**: - ✅ Generate artifacts AI can read (markdown, diagrams) - ✅ Validate AI's work (quality gates) - ✅ Stay stateless & composable - ❌ Don't implement code (AI's job) - ❌ Don't build collaboration infra (external concern) - ❌ Don't replicate IDE features ### Feature Prioritization **Critical gaps** (Phase 1) focus on **workflow completeness**: - Constitution = project guardrails for AI - Clarify = resolve spec ambiguities - Validate = quality gates before implementation **Enhancement gaps** (Phase 2) focus on **AI efficiency**: - Visualizations = help AI understand dependencies - Filters = navigate large task lists - Diagrams = enhance specs with visuals **Advanced gaps** (Phase 3) focus on **power users**: - Contracts = API-first development - Templates = team customization - Metrics = data-driven improvement --- ## 📋 Next Steps 1. **Review the analysis** - Does the MCP-fit make sense? 2. **Validate priorities** - Are critical features correctly identified? 3. **Fine-tune roadmap** - Any features to add/remove/reorder? 4. **Community input** - Should we publish for voting before coding? Once approved, implementation can begin with Phase 1 stories. --- **Analysis Complete:** 2025-10-04 **Status:** Awaiting Review & Approval