# Syndarix Implementation Roadmap

**Version:** 1.0
**Date:** 2025-12-29
**Status:** Draft

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## Executive Summary

This roadmap outlines the phased implementation approach for Syndarix, prioritizing foundational infrastructure before advanced features. Each phase builds upon the previous, with clear milestones and deliverables.

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## Phase 0: Foundation (Weeks 1-2)
**Goal:** Establish development infrastructure and basic platform

### 0.1 Repository Setup
- [x] Fork PragmaStack to Syndarix
- [x] Create spike backlog in Gitea
- [x] Complete architecture documentation
- [ ] Rebrand codebase (Issue #13 - in progress)
- [ ] Configure CI/CD pipelines
- [ ] Set up development environment documentation

### 0.2 Core Infrastructure
- [ ] Configure Redis for cache + pub/sub
- [ ] Set up Celery worker infrastructure
- [ ] Configure pgvector extension
- [ ] Create MCP server directory structure
- [ ] Set up Docker Compose for local development

### Deliverables
- Fully branded Syndarix repository
- Working local development environment
- CI/CD pipeline running tests

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## Phase 1: Core Platform (Weeks 3-6)
**Goal:** Basic project and agent management without LLM integration

### 1.1 Data Model
- [ ] Create Project entity and CRUD
- [ ] Create AgentType entity and CRUD
- [ ] Create AgentInstance entity and CRUD
- [ ] Create Issue entity with external tracker fields
- [ ] Create Sprint entity and CRUD
- [ ] Database migrations with Alembic

### 1.2 API Layer
- [ ] Project management endpoints
- [ ] Agent type configuration endpoints
- [ ] Agent instance management endpoints
- [ ] Issue CRUD endpoints
- [ ] Sprint management endpoints

### 1.3 Real-time Infrastructure
- [ ] Implement EventBus with Redis Pub/Sub
- [ ] Create SSE endpoint for project events
- [ ] Implement event types enum
- [ ] Add keepalive mechanism
- [ ] Client-side SSE handling

### 1.4 Frontend Foundation
- [ ] Project dashboard page
- [ ] Agent configuration UI
- [ ] Issue list and detail views
- [ ] Real-time activity feed component
- [ ] Basic navigation and layout

### Deliverables
- CRUD operations for all core entities
- Real-time event streaming working
- Basic admin UI for configuration

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## Phase 2: MCP Integration (Weeks 7-10)
**Goal:** Build MCP servers for external integrations

### 2.1 MCP Client Infrastructure
- [ ] Create MCPClientManager class
- [ ] Implement server registry
- [ ] Add connection management with reconnection
- [ ] Create tool call routing

### 2.2 LLM Gateway MCP (Priority 1)
- [ ] Create FastMCP server structure
- [ ] Implement LiteLLM integration
- [ ] Add model group routing
- [ ] Implement failover chain
- [ ] Add cost tracking callbacks
- [ ] Create token usage logging

### 2.3 Knowledge Base MCP (Priority 2)
- [ ] Create pgvector schema for embeddings
- [ ] Implement document ingestion pipeline
- [ ] Create chunking strategies (code, markdown, text)
- [ ] Implement semantic search
- [ ] Add hybrid search (vector + keyword)
- [ ] Per-project collection isolation

### 2.4 Git MCP (Priority 3)
- [ ] Create Git operations wrapper
- [ ] Implement clone, commit, push operations
- [ ] Add branch management
- [ ] Create PR operations
- [ ] Add Gitea API integration
- [ ] Implement GitHub/GitLab adapters

### 2.5 Issues MCP (Priority 4)
- [ ] Create issue sync service
- [ ] Implement Gitea issue operations
- [ ] Add GitHub issue adapter
- [ ] Add GitLab issue adapter
- [ ] Implement bi-directional sync
- [ ] Create conflict resolution logic

### Deliverables
- 4 working MCP servers
- LLM calls routed through gateway
- RAG search functional
- Git operations working
- Issue sync with external trackers

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## Phase 3: Agent Orchestration (Weeks 11-14)
**Goal:** Enable agents to perform autonomous work

### 3.1 Agent Runner
- [ ] Create AgentRunner class
- [ ] Implement context assembly
- [ ] Add memory management (short-term, long-term)
- [ ] Implement action execution
- [ ] Add tool call handling
- [ ] Create agent error handling

### 3.2 Agent Orchestrator
- [ ] Implement spawn_agent method
- [ ] Create terminate_agent method
- [ ] Implement send_message routing
- [ ] Add broadcast functionality
- [ ] Create agent status tracking
- [ ] Implement agent recovery

### 3.3 Inter-Agent Communication
- [ ] Define message format schema
- [ ] Implement message persistence
- [ ] Create message routing logic
- [ ] Add @mention parsing
- [ ] Implement priority queues
- [ ] Add conversation threading

### 3.4 Background Task Integration
- [ ] Create Celery task wrappers
- [ ] Implement progress reporting
- [ ] Add task chaining for workflows
- [ ] Create agent queue routing
- [ ] Implement task retry logic

### Deliverables
- Agents can be spawned and communicate
- Agents can call MCP tools
- Background tasks for long operations
- Agent activity visible in real-time

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## Phase 4: Workflow Engine (Weeks 15-18)
**Goal:** Implement structured workflows for software delivery

### 4.1 State Machine Foundation
- [ ] Create workflow state machine base
- [ ] Implement state persistence
- [ ] Add transition validation
- [ ] Create state history logging
- [ ] Implement compensation patterns

### 4.2 Core Workflows
- [ ] Requirements Discovery workflow
- [ ] Architecture Spike workflow
- [ ] Sprint Planning workflow
- [ ] Story Implementation workflow
- [ ] Sprint Demo workflow

### 4.3 Approval Gates
- [ ] Create approval checkpoint system
- [ ] Implement approval UI components
- [ ] Add notification triggers
- [ ] Create timeout handling
- [ ] Implement escalation logic

### 4.4 Autonomy Levels
- [ ] Implement FULL_CONTROL mode
- [ ] Implement MILESTONE mode
- [ ] Implement AUTONOMOUS mode
- [ ] Create autonomy configuration UI
- [ ] Add per-action approval overrides

### Deliverables
- Structured workflows executing
- Approval gates working
- Autonomy levels configurable
- Full sprint cycle possible

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## Phase 5: Advanced Features (Weeks 19-22)
**Goal:** Polish and production readiness

### 5.1 Cost Management
- [ ] Real-time cost tracking dashboard
- [ ] Budget configuration per project
- [ ] Alert threshold system
- [ ] Cost optimization recommendations
- [ ] Historical cost analytics

### 5.2 Audit & Compliance
- [ ] Comprehensive action logging
- [ ] Audit trail viewer UI
- [ ] Export functionality
- [ ] Retention policy implementation
- [ ] Compliance report generation

### 5.3 Human-Agent Collaboration
- [ ] Live activity dashboard
- [ ] Intervention panel (pause, guide, undo)
- [ ] Agent chat interface
- [ ] Context inspector
- [ ] Decision explainer

### 5.4 Additional MCP Servers
- [ ] File System MCP
- [ ] Code Analysis MCP
- [ ] CI/CD MCP

### Deliverables
- Production-ready system
- Full observability
- Cost controls active
- Audit compliance

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## Phase 6: Polish & Launch (Weeks 23-24)
**Goal:** Production deployment

### 6.1 Performance Optimization
- [ ] Load testing
- [ ] Query optimization
- [ ] Caching optimization
- [ ] Memory profiling

### 6.2 Security Hardening
- [ ] Security audit
- [ ] Penetration testing
- [ ] Secrets management
- [ ] Rate limiting tuning

### 6.3 Documentation
- [ ] User documentation
- [ ] API documentation
- [ ] Deployment guide
- [ ] Runbook

### 6.4 Deployment
- [ ] Production environment setup
- [ ] Monitoring & alerting
- [ ] Backup & recovery
- [ ] Launch checklist

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## Risk Register

| Risk | Impact | Probability | Mitigation |
|------|--------|-------------|------------|
| LLM API outages | High | Medium | Multi-provider failover |
| Cost overruns | High | Medium | Budget enforcement, local models |
| Agent hallucinations | High | Medium | Approval gates, code review |
| Performance bottlenecks | Medium | Medium | Load testing, caching |
| Integration failures | Medium | Low | Contract testing, mocks |

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## Success Metrics

| Metric | Target | Measurement |
|--------|--------|-------------|
| Agent task success rate | >90% | Completed tasks / total tasks |
| Response time (P95) | <2s | API latency |
| Cost per project | <$50/sprint | LLM + compute costs |
| Time to first commit | <1 hour | From requirements to PR |
| Client satisfaction | >4/5 | Post-sprint survey |

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## Dependencies

```
Phase 0 ─────▶ Phase 1 ─────▶ Phase 2 ─────▶ Phase 3 ─────▶ Phase 4 ─────▶ Phase 5 ─────▶ Phase 6
Foundation    Core Platform   MCP Integration  Agent Orch    Workflows     Advanced       Launch
                                                  │
                                                  │
                                             Depends on:
                                             - LLM Gateway
                                             - Knowledge Base
                                             - Real-time events
```

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## Resource Requirements

### Development Team
- 1 Backend Engineer (Python/FastAPI)
- 1 Frontend Engineer (React/Next.js)
- 0.5 DevOps Engineer
- 0.25 Product Manager

### Infrastructure
- PostgreSQL (managed or self-hosted)
- Redis (managed or self-hosted)
- Celery workers (2-4 instances)
- MCP servers (7 containers)
- API server (2+ instances)
- Frontend (static hosting or SSR)

### External Services
- Anthropic API (primary LLM)
- OpenAI API (fallback)
- Ollama (local models, optional)
- Gitea/GitHub/GitLab (issue tracking)

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*This roadmap will be refined as spikes complete and requirements evolve.*