Developer Tools

Claude Pilot

Native Electron control center managing 3 database systems with type-safe IPC

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2+ hrs/day

Time Saved

Eliminated multi-tool context switching

tRPC Endpoints

Type-safe IPC across 3 database systems

80%

Test Coverage

Main + renderer process coverage

Production Incidents

Zero incidents since launch

●The Challenge

Claude Code power users manage sessions across multiple projects, each with their own memory state stored across PostgreSQL (structured data), Memgraph (knowledge graphs), and Qdrant (vector embeddings). Without a unified dashboard, developers context-switch between terminal sessions, database clients, and config files constantly. There's no way to visualize the knowledge graph, inspect memory health, or manage MCP server configurations without diving into raw database queries. The typical workflow involves 4-5 separate tools just to understand the state of a single project's AI memory. For developers running Claude Code 8+ hours daily, this fragmentation costs 2+ hours of productive time.

●The Approach

Chose Electron deliberately—this tool needs native OS access for process management, file system watching, and system tray integration that web apps can't provide. The critical architecture decision was using tRPC for all IPC communication between main and renderer processes. This gives full type safety from the database query layer through to the React UI without any serialization boundaries or manual type definitions. Built 25 tRPC endpoints covering session management, memory inspection, MCP health monitoring, and configuration. Zod schemas validate every message crossing the IPC bridge, catching type mismatches at runtime that TypeScript can't catch at compile time.

●Tech Decisions

Desktop Runtime

Electron

Native OS access is non-negotiable for process management, file system watchers, and system tray integration. Web alternatives (Tauri) lack mature Node.js ecosystem access needed for database drivers. Electron's overhead is acceptable for a developer tool that runs alongside resource-heavy AI workloads.

IPC Layer

tRPC + Zod

Type-safe communication between Electron main and renderer processes eliminates an entire category of serialization bugs. Zod runtime validation catches edge cases that compile-time TypeScript misses—critical when database queries return dynamic shapes.

Knowledge Graph

Memgraph over Neo4j

Memgraph's in-memory architecture delivers sub-millisecond query latency for the interactive graph visualizer. Neo4j's disk-based storage adds 10-50ms per query—noticeable when rendering force-directed graphs with hundreds of nodes updating in real-time.

●Technical Challenges

●The Solution

Claude Pilot runs as a native desktop application with a React frontend communicating through tRPC to the Electron main process. The dashboard provides real-time views of all active Claude Code sessions, memory utilization across all three database systems, and MCP server health status. The knowledge graph visualizer renders Memgraph data as an interactive force-directed graph, letting developers see relationship patterns in their project's AI memory. Configuration management handles MCP server setup, memory retention policies, and session preferences through a unified interface. 80% test coverage across both main and renderer processes, with zero production incidents since launch.

●Key Takeaways

Reusable Insights

Type-safe IPC via tRPC eliminates an entire error category in Electron apps—the overhead of setting it up pays for itself within the first week of development.
Graph databases are the right tool for relationship-heavy data that needs real-time traversal, but the visualization layer needs careful performance engineering.
Electron is still the pragmatic choice for developer tools that need native OS integration—the resource overhead is negligible next to the AI workloads it manages.
Zod runtime validation catches bugs that TypeScript's compile-time checks miss, especially at serialization boundaries where data shapes can drift.

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