forked from cardosofelipe/fast-next-template
Felipe Cardoso
3d6fa6b791
- Mark Phase 1 as 100% complete - Update all Phase 1 sections to show completion - Close blocking items section (all issues resolved) - Add next steps for Phase 2-4 - Update dependencies diagram 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
386 lines
12 KiB
Markdown
386 lines
12 KiB
Markdown
# Syndarix Implementation Roadmap
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**Version:** 1.3
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**Date:** 2025-12-31
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**Status:** Active Development
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---
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## Executive Summary
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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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---
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## Phase 0: Foundation ✅ COMPLETE
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**Goal:** Establish development infrastructure and basic platform
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### 0.1 Repository Setup
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- [x] Fork PragmaStack to Syndarix
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- [x] Create spike backlog in Gitea (12 issues)
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- [x] Complete architecture documentation
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- [x] Complete all spike research (SPIKE-001 through SPIKE-012)
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- [x] Create all ADRs (ADR-001 through ADR-014)
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- [x] Rebrand codebase (all URLs, names, configs updated)
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- [x] Configure CI/CD pipelines (`.gitea/workflows/ci.yaml`)
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- [x] Set up development environment documentation
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### 0.2 Core Infrastructure
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- [x] Configure Redis for cache + pub/sub (`app/core/redis.py`)
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- [x] Set up Celery worker infrastructure (4 queues: agent, git, sync, cicd)
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- [x] Configure pgvector extension (migration 0003)
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- [x] Create MCP server directory structure (`mcp-servers/`)
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- [x] Set up Docker Compose for local development (3 compose files)
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### Deliverables
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- [x] Fully branded Syndarix repository
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- [x] Complete architecture documentation (ARCHITECTURE.md)
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- [x] All spike research completed (12 spikes)
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- [x] All ADRs documented (14 ADRs)
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- [x] Working local development environment (Docker Compose)
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- [x] CI/CD pipeline running tests
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---
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## Phase 1: Core Platform ✅ COMPLETE
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**Goal:** Basic project and agent management without LLM integration
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### 1.1 Data Model ✅ COMPLETE
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- [x] Create Project entity and CRUD (`models/syndarix/project.py`)
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- [x] Create AgentType entity and CRUD (`models/syndarix/agent_type.py`)
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- [x] Create AgentInstance entity and CRUD (`models/syndarix/agent_instance.py`)
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- [x] Create Issue entity with external tracker fields (`models/syndarix/issue.py`)
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- [x] Create Sprint entity and CRUD (`models/syndarix/sprint.py`)
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- [x] Database migrations with Alembic (3 migrations)
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### 1.2 API Layer ✅ COMPLETE
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- [x] Project management endpoints (`api/routes/projects.py`) - Issue #28
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- [x] Agent type configuration endpoints (`api/routes/agent_types.py`) - Issue #29
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- [x] Agent instance management endpoints (`api/routes/agents.py`) - Issue #30
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- [x] Issue CRUD endpoints (`api/routes/issues.py`) - Issue #31
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- [x] Sprint management endpoints (`api/routes/sprints.py`) - Issue #32
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### 1.3 Real-time Infrastructure ✅ COMPLETE
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- [x] Implement EventBus with Redis Pub/Sub (`services/event_bus.py`)
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- [x] Create SSE endpoint for project events (`api/routes/events.py`)
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- [x] Implement event types enum (`schemas/events.py`)
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- [x] Add keepalive mechanism
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- [x] Client-side SSE handling (`hooks/useProjectEvents.ts`)
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### 1.4 Frontend Foundation ✅ COMPLETE
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- [x] Project dashboard page (prototype + implementation) - #36, #40
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- [x] Agent configuration UI (prototype + implementation) - #37, #41
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- [x] Issue list and detail views (prototype + implementation) - #38, #42
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- [x] Real-time activity feed component (prototype + implementation) - #39, #43
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- [x] Basic navigation and layout (implemented)
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### 1.5 Main Dashboard & Onboarding ✅ COMPLETE
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- [x] Main Dashboard / Projects List (design + implementation) - #47, #48
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- [x] Project Creation Wizard (design + implementation) - #49, #50
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**Note:** The Project Creation Wizard includes a placeholder for Phase 4 agent chat integration.
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Full onboarding workflow (FR-301, FR-302) will be implemented in Phase 4.
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### Deliverables
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- [x] CRUD operations for all core entities
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- [x] Real-time event streaming working
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- [x] Admin UI for agent type configuration
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- [x] Main dashboard with projects list and activity feed
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- [x] Project creation wizard (simplified, no agent chat)
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---
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## Phase 2: MCP Integration (Weeks 7-10)
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**Goal:** Build MCP servers for external integrations
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### 2.1 MCP Client Infrastructure
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- [ ] Create MCPClientManager class
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- [ ] Implement server registry
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- [ ] Add connection management with reconnection
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- [ ] Create tool call routing
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### 2.2 LLM Gateway MCP (Priority 1)
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- [x] Create FastMCP server structure (`mcp-servers/llm-gateway/`)
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- [ ] Implement LiteLLM integration
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- [ ] Add model group routing
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- [ ] Implement failover chain
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- [ ] Add cost tracking callbacks
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- [ ] Create token usage logging
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### 2.3 Knowledge Base MCP (Priority 2)
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- [x] Create server directory (`mcp-servers/knowledge-base/`)
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- [ ] Create pgvector schema for embeddings
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- [ ] Implement document ingestion pipeline
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- [ ] Create chunking strategies (code, markdown, text)
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- [ ] Implement semantic search
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- [ ] Add hybrid search (vector + keyword)
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- [ ] Per-project collection isolation
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### 2.4 Git MCP (Priority 3)
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- [x] Create server directory (`mcp-servers/git-ops/`)
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- [ ] Create Git operations wrapper
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- [ ] Implement clone, commit, push operations
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- [ ] Add branch management
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- [ ] Create PR operations
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- [ ] Add Gitea API integration
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- [ ] Implement GitHub/GitLab adapters
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### 2.5 Issues MCP (Priority 4)
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- [x] Create server directory (`mcp-servers/issues/`)
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- [ ] Create issue sync service
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- [ ] Implement Gitea issue operations
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- [ ] Add GitHub issue adapter
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- [ ] Add GitLab issue adapter
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- [ ] Implement bi-directional sync
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- [ ] Create conflict resolution logic
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### Deliverables
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- 4 working MCP servers
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- LLM calls routed through gateway
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- RAG search functional
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- Git operations working
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- Issue sync with external trackers
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---
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## Phase 3: Agent Orchestration (Weeks 11-14)
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**Goal:** Enable agents to perform autonomous work
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### 3.1 Agent Runner
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- [ ] Create AgentRunner class
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- [ ] Implement context assembly
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- [ ] Add memory management (short-term, long-term)
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- [ ] Implement action execution
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- [ ] Add tool call handling
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- [ ] Create agent error handling
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### 3.2 Agent Orchestrator
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- [ ] Implement spawn_agent method
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- [ ] Create terminate_agent method
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- [ ] Implement send_message routing
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- [ ] Add broadcast functionality
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- [ ] Create agent status tracking
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- [ ] Implement agent recovery
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### 3.3 Inter-Agent Communication
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- [ ] Define message format schema
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- [ ] Implement message persistence
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- [ ] Create message routing logic
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- [ ] Add @mention parsing
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- [ ] Implement priority queues
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- [ ] Add conversation threading
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### 3.4 Background Task Integration
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- [x] Create Celery task wrappers (`app/tasks/`)
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- [x] Implement retry logic with exponential backoff
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- [ ] Implement progress reporting
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- [ ] Add task chaining for workflows
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- [ ] Create agent queue routing
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### Deliverables
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- Agents can be spawned and communicate
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- Agents can call MCP tools
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- Background tasks for long operations
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- Agent activity visible in real-time
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---
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## Phase 4: Workflow Engine (Weeks 15-18)
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**Goal:** Implement structured workflows for software delivery
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### 4.1 State Machine Foundation
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- [ ] Create workflow state machine base
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- [ ] Implement state persistence
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- [ ] Add transition validation
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- [ ] Create state history logging
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- [ ] Implement compensation patterns
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### 4.2 Core Workflows
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- [ ] Requirements Discovery workflow
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- [ ] Architecture Spike workflow
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- [ ] Sprint Planning workflow
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- [ ] Story Implementation workflow
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- [ ] Sprint Demo workflow
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### 4.3 Approval Gates
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- [ ] Create approval checkpoint system
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- [ ] Implement approval UI components
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- [ ] Add notification triggers
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- [ ] Create timeout handling
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- [ ] Implement escalation logic
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### 4.4 Autonomy Levels
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- [ ] Implement FULL_CONTROL mode
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- [ ] Implement MILESTONE mode
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- [ ] Implement AUTONOMOUS mode
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- [ ] Create autonomy configuration UI
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- [ ] Add per-action approval overrides
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### Deliverables
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- Structured workflows executing
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- Approval gates working
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- Autonomy levels configurable
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- Full sprint cycle possible
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---
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## Phase 5: Advanced Features (Weeks 19-22)
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**Goal:** Polish and production readiness
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### 5.1 Cost Management
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- [ ] Real-time cost tracking dashboard
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- [ ] Budget configuration per project
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- [ ] Alert threshold system
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- [ ] Cost optimization recommendations
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- [ ] Historical cost analytics
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### 5.2 Audit & Compliance
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- [ ] Comprehensive action logging
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- [ ] Audit trail viewer UI
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- [ ] Export functionality
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- [ ] Retention policy implementation
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- [ ] Compliance report generation
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### 5.3 Human-Agent Collaboration
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- [ ] Live activity dashboard
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- [ ] Intervention panel (pause, guide, undo)
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- [ ] Agent chat interface
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- [ ] Context inspector
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- [ ] Decision explainer
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### 5.4 Additional MCP Servers
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- [x] File System MCP directory (`mcp-servers/file-system/`)
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- [x] Code Analysis MCP directory (`mcp-servers/code-analysis/`)
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- [x] CI/CD MCP directory (`mcp-servers/cicd/`)
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- [ ] Implement File System MCP
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- [ ] Implement Code Analysis MCP
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- [ ] Implement CI/CD MCP
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### Deliverables
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- Production-ready system
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- Full observability
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- Cost controls active
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- Audit compliance
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---
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## Phase 6: Polish & Launch (Weeks 23-24)
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**Goal:** Production deployment
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### 6.1 Performance Optimization
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- [ ] Load testing
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- [ ] Query optimization
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- [ ] Caching optimization
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- [ ] Memory profiling
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### 6.2 Security Hardening
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- [ ] Security audit
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- [ ] Penetration testing
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- [ ] Secrets management
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- [ ] Rate limiting tuning
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### 6.3 Documentation
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- [ ] User documentation
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- [ ] API documentation
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- [ ] Deployment guide
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- [ ] Runbook
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### 6.4 Deployment
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- [ ] Production environment setup
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- [ ] Monitoring & alerting
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- [ ] Backup & recovery
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- [ ] Launch checklist
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---
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## Current Progress Summary
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| Phase | Status | Completion |
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|-------|--------|------------|
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| Phase 0: Foundation | ✅ Complete | 100% |
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| Phase 1: Core Platform | ✅ Complete | 100% |
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| Phase 2: MCP Integration | 📋 Not Started | 0% |
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| Phase 3: Agent Orchestration | 📋 Not Started | 0% |
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| Phase 4: Workflow Engine | 📋 Not Started | 0% |
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| Phase 5: Advanced Features | 📋 Not Started | 0% |
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| Phase 6: Polish & Launch | 📋 Not Started | 0% |
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### Phase 1 Breakdown (All Complete)
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- Data Model: ✅ 100% (all entities, CRUD, migrations)
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- API Layer: ✅ 100% (all endpoints implemented)
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- Real-time: ✅ 100% (EventBus, SSE, client hooks)
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- Frontend Foundation: ✅ 100% (all implementations merged)
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- Main Dashboard & Onboarding: ✅ 100% (dashboard + wizard complete)
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### Next Steps
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1. **Phase 2**: Implement MCP servers (LLM Gateway, Knowledge Base, Git, Issues)
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2. **Phase 3**: Agent orchestration and inter-agent communication
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3. **Phase 4**: Workflow engine with approval gates
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---
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## Risk Register
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| Risk | Impact | Probability | Mitigation |
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|------|--------|-------------|------------|
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| LLM API outages | High | Medium | Multi-provider failover |
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| Cost overruns | High | Medium | Budget enforcement, local models |
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| Agent hallucinations | High | Medium | Approval gates, code review |
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| Performance bottlenecks | Medium | Medium | Load testing, caching |
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| Integration failures | Medium | Low | Contract testing, mocks |
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---
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## Success Metrics
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| Metric | Target | Measurement |
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|--------|--------|-------------|
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| Agent task success rate | >90% | Completed tasks / total tasks |
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| API response time (P95) | <200ms | Pure API latency (per NFR-101) |
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| Agent response time | <10s simple, <60s code | End-to-end including LLM (per NFR-103) |
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| Cost per project | <$100/sprint | LLM + compute costs (with Opus 4.5 pricing) |
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| Time to first commit | <1 hour | From requirements to PR |
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| Client satisfaction | >4/5 | Post-sprint survey |
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| Concurrent projects | 10+ | Active projects in parallel |
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| Concurrent agents | 50+ | Agent instances running |
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---
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## Dependencies
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```
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Phase 0 ─────▶ Phase 1 ─────▶ Phase 2 ─────▶ Phase 3 ─────▶ Phase 4 ─────▶ Phase 5 ─────▶ Phase 6
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Foundation Core Platform MCP Integration Agent Orch Workflows Advanced Launch
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✅ ✅ 📋 📋 📋 📋 📋
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```
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---
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## Resource Requirements
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### Development Team
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- 1 Backend Engineer (Python/FastAPI)
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- 1 Frontend Engineer (React/Next.js)
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- 0.5 DevOps Engineer
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- 0.25 Product Manager
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### Infrastructure
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- PostgreSQL (managed or self-hosted)
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- Redis (managed or self-hosted)
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- Celery workers (4-8 instances across 4 queues: agent, git, sync, cicd)
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- MCP servers (7 containers, deployed in Phase 2 + Phase 5)
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- API server (2+ instances)
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- Frontend (static hosting or SSR)
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### External Services
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- Anthropic API (Claude Opus 4.5 - primary reasoning)
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- OpenAI API (GPT 5.1 Codex max - code generation)
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- Google API (Gemini 3 Pro/Flash - multimodal, fast)
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- Alibaba API (Qwen3-235B - cost-effective, or self-host)
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- DeepSeek V3.2 (self-hosted, open weights)
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- Gitea/GitHub/GitLab (issue tracking)
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---
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*Last updated: 2025-12-31*
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