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Merge pull request #44 from codervisor/copilot/evaluate-performance-alternatives
Add comprehensive performance analysis and implementation-ready design for AI Agent Observability system
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‎docs/design/README.md‎

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### 🚀 [Performance Analysis](./ai-agent-observability-performance-analysis.md) ⭐ NEW
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**Purpose**: Comprehensive performance evaluation and language alternatives
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**Audience**: Architects, technical leads, decision makers
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**Content**:
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- Performance requirements analysis (10K+ events/sec)
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- TypeScript/Node.js evaluation (strengths & weaknesses)
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- Alternative language deep-dives (Go, C#, Rust)
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- Detailed benchmarks and comparisons
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- Architecture recommendations (Hybrid TypeScript + Go)
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- Migration strategies and implementation roadmap
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- Cost analysis (infrastructure + development)
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- Decision matrix and risk mitigation
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**Read this if**: You're evaluating technology choices or planning for scale
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**Quick Summary**: [Performance Summary](./ai-agent-observability-performance-summary.md) (TL;DR version)
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---
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## Other Design Documents
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### [AI Evaluation System Design](./ai-evaluation-system-design.md)
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| Full Design | ✅ Complete | 2025-01-15 | 100% |
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| Quick Reference | ✅ Complete | 2025-01-15 | 100% |
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| Implementation Checklist | ✅ Complete | 2025-01-15 | 100% |
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| **Performance Analysis** | ✅ **Complete** | **2025-01-20** | **100%** |
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| **Performance Summary** | ✅ **Complete** | **2025-01-20** | **100%** |
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| AI Evaluation Design | ✅ Complete | Earlier | 100% |
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| Visual Design System | ✅ Complete | Earlier | 100% |
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## How to Use These Documents
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### For Decision Makers
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1. Start with [Executive Summary](./ai-agent-observability-executive-summary.md)
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2. Review specific sections of interest in [Full Design](./ai-agent-observability-design.md)
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3. Check [Implementation Checklist](./ai-agent-observability-implementation-checklist.md) for timeline
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2. Review [Performance Summary](./ai-agent-observability-performance-summary.md) for technology choices
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3. Review specific sections of interest in [Full Design](./ai-agent-observability-design.md)
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4. Check [Implementation Checklist](./ai-agent-observability-implementation-checklist.md) for timeline
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### For Architects & Technical Leads
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1. Read [Performance Analysis](./ai-agent-observability-performance-analysis.md) for comprehensive evaluation
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2. Review [Full Design](./ai-agent-observability-design.md) for technical architecture
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3. Use [Performance Summary](./ai-agent-observability-performance-summary.md) for quick reference
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4. Plan implementation with [Implementation Checklist](./ai-agent-observability-implementation-checklist.md)
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### For Product Managers
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1. Read [Full Design](./ai-agent-observability-design.md) for complete feature specifications
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**Maintained by**: DevLog Core Team
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**Last Updated**: 2025-01-15
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**Last Updated**: 2025-01-20

‎docs/design/ai-agent-observability-design.md‎

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## Architecture Overview
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**Architecture Decision**: **TypeScript + Go Hybrid** (finalized based on [performance analysis](./ai-agent-observability-performance-analysis.md))
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**Rationale**:
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- **TypeScript**: Fast MVP development, MCP ecosystem, web UI (2 months to market)
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- **Go**: High-performance backend services (50-120K events/sec), efficient resource usage
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- **Benefits**: Best of both worlds - rapid iteration + production scalability
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- **Cost**: $335K (6 months) vs $278K (TS-only) - delivers 5-10x better performance
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### High-Level Architecture
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```
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┌─────────────────────────────────────────────────────────────────┐
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│ AI Coding Agents │
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│ (Copilot, Claude, Cursor, Gemini, Cline, Aider, etc.) │
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└────────────────────────┬────────────────────────────────────────┘
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│
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│ MCP Protocol / Agent SDKs
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│
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┌────────────────────────▼────────────────────────────────────────┐
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│ Agent Activity Collection Layer │
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│ • Event capture • Log aggregation • Real-time streaming │
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└────────────────────────┬────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────────┐
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│ Processing & Analysis Engine │
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│ • Event parsing • Metric calculation • Pattern detection │
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└────────────────────────┬────────────────────────────────────────┘
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│
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▼
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│ Developer Machine (Client) │
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│ ┌────────────────────────────────────────────────────────────┐ │
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│ │ AI Coding Agents (Copilot, Claude, Cursor, etc.) │ │
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│ └────────────────────┬───────────────────────────────────────┘ │
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│ │ Logs │
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│ ┌────────────────────▼───────────────────────────────────────┐ │
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│ │ Go Collector (~10-20MB binary) │ │
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│ │ • Log watcher • Event parser • Local buffer (SQLite) │ │
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│ │ • Batching (100 events/5s) • Offline support │ │
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│ └────────────────────┬───────────────────────────────────────┘ │
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└───────────────────────┼─────────────────────────────────────────┘
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│ HTTP/gRPC
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▼
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┌─────────────────────────────────────────────────────────────────┐
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│ Storage & Indexing │
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│ • Time-series events • Metrics aggregation • Full-text search │
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└────────────────────────┬────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────────┐
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│ Visualization & Analytics Layer │
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│ • Dashboards • Timeline views • Reports • Alerts │
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│ TypeScript API Gateway Layer │
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│ • Next.js API routes • MCP Server • Auth & session mgmt │
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│ • API orchestration (thin layer: 5-20ms latency) │
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└────────────┬───────────────────────────┬────────────────────────┘
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│ gRPC/REST │ gRPC/REST
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┌────────────▼────────────┐ ┌──────────▼──────────────────────┐
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│ Go Event Processor │ │ TypeScript Services │
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│ • 50-120K events/sec │ │ • User management │
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│ • Adapter registry │ │ • Project management │
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│ • Transformation │ │ • Devlog CRUD │
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│ • Batching & buffering │ │ • Business logic │
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└────────────┬────────────┘ └──────────┬──────────────────────┘
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│ │
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┌────────────▼───────────────────────────▼────────────────────────┐
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│ Go Real-time Stream Engine │
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│ • WebSocket server • Event broadcasting • Session monitoring │
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└────────────┬────────────────────────────────────────────────────┘
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│
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┌────────────▼────────────────────────────────────────────────────┐
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│ Go Analytics Engine │
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│ • Metrics aggregation • Pattern detection • Quality analysis │
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└────────────┬────────────────────────────────────────────────────┘
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│
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┌────────────▼────────────────────────────────────────────────────┐
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│ PostgreSQL + TimescaleDB │
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│ • agent_events (hypertable) • agent_sessions • Aggregations │
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└─────────────────────────────────────────────────────────────────┘
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```
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### Component Architecture
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```
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packages/
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├── core/ # Enhanced core with agent observability
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├── collector-go/ # NEW: Go client-side collector
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│ ├── cmd/collector/ # Main collector binary
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│ ├── internal/
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│ │ ├── adapters/ # Agent-specific log parsers
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│ │ ├── buffer/ # SQLite offline buffer
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│ │ ├── config/ # Configuration management
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│ │ └── watcher/ # File system watcher
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│ └── pkg/client/ # Backend HTTP/gRPC client
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│
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├── services-go/ # NEW: Go backend services
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│ ├── event-processor/ # Event processing service (50-120K/sec)
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│ ├── stream-engine/ # Real-time WebSocket streaming
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│ ├── analytics-engine/ # Metrics aggregation & pattern detection
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│ └── shared/ # Shared Go libraries & utilities
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│
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├── core/ # Enhanced core with agent observability (TypeScript)
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│ ├── agent-events/ # NEW: Agent event types and schemas
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│ ├── agent-collection/ # NEW: Event collection and ingestion
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│ ├── agent-analytics/ # NEW: Metrics and analysis engine
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│ └── services/ # Existing services + new agent services
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│
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├── mcp/ # MCP server with observability tools
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├── mcp/ # MCP server with observability tools (TypeScript)
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│ ├── tools/ # Existing + new agent monitoring tools
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│ └── collectors/ # NEW: Event collectors for different agents
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│ └── collectors/ # NEW: Collector control tools
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│
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├── ai/ # AI analysis for agent behavior
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├── ai/ # AI analysis for agent behavior (TypeScript)
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│ ├── pattern-detection/ # NEW: Identify patterns in agent behavior
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│ ├── quality-analysis/ # NEW: Code quality assessment
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│ └── recommendation-engine/ # NEW: Suggest improvements
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└── web/ # Enhanced UI for observability
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└── web/ # Enhanced UI for observability (TypeScript/Next.js)
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├── dashboards/ # NEW: Agent activity dashboards
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├── timelines/ # NEW: Visual agent action timelines
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├── analytics/ # NEW: Performance and quality analytics
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└── reports/ # NEW: Custom reporting interface
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```
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### Technology Stack Summary
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| Component | Language | Rationale |
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|-----------|----------|-----------|
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| **Client Collector** | Go | Small binary (~10-20MB), cross-platform, efficient |
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| **Event Processing** | Go | High throughput (50-120K events/sec), low latency |
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| **Real-time Streaming** | Go | Efficient WebSocket handling, 50K+ connections |
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| **Analytics Engine** | Go | Fast aggregations, pattern detection performance |
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| **API Gateway** | TypeScript | MCP integration, rapid development, Next.js |
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| **Business Logic** | TypeScript | Fast iteration, existing codebase integration |
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| **Web UI** | TypeScript/Next.js | React ecosystem, server components |
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| **Database** | PostgreSQL + TimescaleDB | Time-series optimization, mature ecosystem |
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```
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## Core Features
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### Phase 1: Agent Activity Collection & Storage (Foundation)

‎docs/design/ai-agent-observability-implementation-checklist.md‎

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This document provides a detailed, actionable checklist for implementing the AI Agent Observability features described in the [design document](./ai-agent-observability-design.md).
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**Architecture Decision**: TypeScript + Go Hybrid (finalized)
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- **TypeScript**: Web UI, MCP Server, API Gateway
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- **Go**: Client-side collector, Event processing, Real-time streaming, Analytics
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- See [Performance Analysis](./ai-agent-observability-performance-analysis.md) for detailed rationale
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## Phase 0: Go Collector Setup (Week 0 - Parallel Track)
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**Note**: This can be developed in parallel with Phase 1 TypeScript work.
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### Go Collector Development
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- [ ] **Project Setup**
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- [ ] Create `packages/collector-go/` directory
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- [ ] Initialize Go module: `go mod init github.com/codervisor/devlog/collector`
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- [ ] Set up Go project structure (cmd/, internal/, pkg/)
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- [ ] Configure cross-compilation (darwin, linux, windows)
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- [ ] Set up GitHub Actions for building binaries
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- [ ] **Core Collector Implementation**
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- [ ] Implement log file watcher (fsnotify)
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- [ ] Create agent-specific log parsers (adapters pattern)
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- [ ] GitHub Copilot adapter
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- [ ] Claude Code adapter
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- [ ] Cursor adapter
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- [ ] Generic adapter (fallback)
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- [ ] Implement local SQLite buffer for offline support
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- [ ] Add event batching logic (100 events or 5s interval)
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- [ ] Implement HTTP/gRPC client for backend communication
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- [ ] Add retry logic with exponential backoff
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- [ ] Implement graceful shutdown
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- [ ] **Configuration & Discovery**
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- [ ] Auto-detect agent log locations by OS
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- [ ] Load configuration from `~/.devlog/collector.json`
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- [ ] Support environment variables for config
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- [ ] Implement agent log discovery heuristics
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- [ ] Add config validation
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- [ ] **Distribution & Installation**
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- [ ] Create npm package wrapper (`@codervisor/devlog-collector`)
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- [ ] Bundle platform-specific binaries in npm package
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- [ ] Create install script (post-install hook)
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- [ ] Add auto-start on system boot scripts
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- [ ] macOS: launchd plist
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- [ ] Linux: systemd service
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- [ ] Windows: Windows Service
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- [ ] Create uninstall script
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- [ ] **Testing**
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- [ ] Unit tests for log parsers
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- [ ] Integration tests with mock backend
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- [ ] Test cross-platform compilation
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- [ ] Test offline buffering and recovery
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- [ ] Load testing (simulate high-volume logs)
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- [ ] **Documentation**
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- [ ] Go collector architecture documentation
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- [ ] Build and development guide
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- [ ] Adapter development guide (for new agents)
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- [ ] Troubleshooting guide
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## Phase 1: Foundation (Weeks 1-4)
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### Week 1: Core Data Models & Schema

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