# Syndarix Implementation Roadmap

**Version:** 1.3
**Date:** 2025-12-31
**Status:** Active Development

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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 ✅ COMPLETE
**Goal:** Establish development infrastructure and basic platform

### 0.1 Repository Setup
- [x] Fork PragmaStack to Syndarix
- [x] Create spike backlog in Gitea (12 issues)
- [x] Complete architecture documentation
- [x] Complete all spike research (SPIKE-001 through SPIKE-012)
- [x] Create all ADRs (ADR-001 through ADR-014)
- [x] Rebrand codebase (all URLs, names, configs updated)
- [x] Configure CI/CD pipelines (`.gitea/workflows/ci.yaml`)
- [x] Set up development environment documentation

### 0.2 Core Infrastructure
- [x] Configure Redis for cache + pub/sub (`app/core/redis.py`)
- [x] Set up Celery worker infrastructure (4 queues: agent, git, sync, cicd)
- [x] Configure pgvector extension (migration 0003)
- [x] Create MCP server directory structure (`mcp-servers/`)
- [x] Set up Docker Compose for local development (3 compose files)

### Deliverables
- [x] Fully branded Syndarix repository
- [x] Complete architecture documentation (ARCHITECTURE.md)
- [x] All spike research completed (12 spikes)
- [x] All ADRs documented (14 ADRs)
- [x] Working local development environment (Docker Compose)
- [x] CI/CD pipeline running tests

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## Phase 1: Core Platform ✅ COMPLETE
**Goal:** Basic project and agent management without LLM integration

### 1.1 Data Model ✅ COMPLETE
- [x] Create Project entity and CRUD (`models/syndarix/project.py`)
- [x] Create AgentType entity and CRUD (`models/syndarix/agent_type.py`)
- [x] Create AgentInstance entity and CRUD (`models/syndarix/agent_instance.py`)
- [x] Create Issue entity with external tracker fields (`models/syndarix/issue.py`)
- [x] Create Sprint entity and CRUD (`models/syndarix/sprint.py`)
- [x] Database migrations with Alembic (3 migrations)

### 1.2 API Layer ✅ COMPLETE
- [x] Project management endpoints (`api/routes/projects.py`) - Issue #28
- [x] Agent type configuration endpoints (`api/routes/agent_types.py`) - Issue #29
- [x] Agent instance management endpoints (`api/routes/agents.py`) - Issue #30
- [x] Issue CRUD endpoints (`api/routes/issues.py`) - Issue #31
- [x] Sprint management endpoints (`api/routes/sprints.py`) - Issue #32

### 1.3 Real-time Infrastructure ✅ COMPLETE
- [x] Implement EventBus with Redis Pub/Sub (`services/event_bus.py`)
- [x] Create SSE endpoint for project events (`api/routes/events.py`)
- [x] Implement event types enum (`schemas/events.py`)
- [x] Add keepalive mechanism
- [x] Client-side SSE handling (`hooks/useProjectEvents.ts`)

### 1.4 Frontend Foundation ✅ COMPLETE
- [x] Project dashboard page (prototype + implementation) - #36, #40
- [x] Agent configuration UI (prototype + implementation) - #37, #41
- [x] Issue list and detail views (prototype + implementation) - #38, #42
- [x] Real-time activity feed component (prototype + implementation) - #39, #43
- [x] Basic navigation and layout (implemented)

### 1.5 Main Dashboard & Onboarding ✅ COMPLETE
- [x] Main Dashboard / Projects List (design + implementation) - #47, #48
- [x] Project Creation Wizard (design + implementation) - #49, #50

**Note:** The Project Creation Wizard includes a placeholder for Phase 4 agent chat integration.
Full onboarding workflow (FR-301, FR-302) will be implemented in Phase 4.

### Deliverables
- [x] CRUD operations for all core entities
- [x] Real-time event streaming working
- [x] Admin UI for agent type configuration
- [x] Main dashboard with projects list and activity feed
- [x] Project creation wizard (simplified, no agent chat)

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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)
- [x] Create FastMCP server structure (`mcp-servers/llm-gateway/`)
- [ ] 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)
- [x] Create server directory (`mcp-servers/knowledge-base/`)
- [ ] 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)
- [x] Create server directory (`mcp-servers/git-ops/`)
- [ ] 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)
- [x] Create server directory (`mcp-servers/issues/`)
- [ ] 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
- [x] Create Celery task wrappers (`app/tasks/`)
- [x] Implement retry logic with exponential backoff
- [ ] Implement progress reporting
- [ ] Add task chaining for workflows
- [ ] Create agent queue routing

### 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
- [x] File System MCP directory (`mcp-servers/file-system/`)
- [x] Code Analysis MCP directory (`mcp-servers/code-analysis/`)
- [x] CI/CD MCP directory (`mcp-servers/cicd/`)
- [ ] Implement File System MCP
- [ ] Implement Code Analysis MCP
- [ ] Implement 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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## Current Progress Summary

| Phase | Status | Completion |
|-------|--------|------------|
| Phase 0: Foundation | ✅ Complete | 100% |
| Phase 1: Core Platform | ✅ Complete | 100% |
| Phase 2: MCP Integration | 📋 Not Started | 0% |
| Phase 3: Agent Orchestration | 📋 Not Started | 0% |
| Phase 4: Workflow Engine | 📋 Not Started | 0% |
| Phase 5: Advanced Features | 📋 Not Started | 0% |
| Phase 6: Polish & Launch | 📋 Not Started | 0% |

### Phase 1 Breakdown (All Complete)
- Data Model: ✅ 100% (all entities, CRUD, migrations)
- API Layer: ✅ 100% (all endpoints implemented)
- Real-time: ✅ 100% (EventBus, SSE, client hooks)
- Frontend Foundation: ✅ 100% (all implementations merged)
- Main Dashboard & Onboarding: ✅ 100% (dashboard + wizard complete)

### Next Steps
1. **Phase 2**: Implement MCP servers (LLM Gateway, Knowledge Base, Git, Issues)
2. **Phase 3**: Agent orchestration and inter-agent communication
3. **Phase 4**: Workflow engine with approval gates

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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 |
| API response time (P95) | <200ms | Pure API latency (per NFR-101) |
| Agent response time | <10s simple, <60s code | End-to-end including LLM (per NFR-103) |
| Cost per project | <$100/sprint | LLM + compute costs (with Opus 4.5 pricing) |
| Time to first commit | <1 hour | From requirements to PR |
| Client satisfaction | >4/5 | Post-sprint survey |
| Concurrent projects | 10+ | Active projects in parallel |
| Concurrent agents | 50+ | Agent instances running |

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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
   ✅              ✅              📋              📋             📋            📋            📋
```

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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 (4-8 instances across 4 queues: agent, git, sync, cicd)
- MCP servers (7 containers, deployed in Phase 2 + Phase 5)
- API server (2+ instances)
- Frontend (static hosting or SSR)

### External Services
- Anthropic API (Claude Opus 4.5 - primary reasoning)
- OpenAI API (GPT 5.1 Codex max - code generation)
- Google API (Gemini 3 Pro/Flash - multimodal, fast)
- Alibaba API (Qwen3-235B - cost-effective, or self-host)
- DeepSeek V3.2 (self-hosted, open weights)
- Gitea/GitHub/GitLab (issue tracking)

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*Last updated: 2025-12-31*
