Master the Model Context Protocol, Claude Code CLI, API bridges, Obsidian memory systems, transport internals, Redis idempotency patterns, production architecture, and interview Q&A masterclass. Targeted preparation for AI automation and Second Brain architecture roles.
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Understand the Model Context Protocol at the transport layer, build custom MCP servers, configure and debug deployments, and design production-grade MCP ecosystems for AI Second Brain platforms.
Deep technical knowledge of Claude Code — the Anthropic terminal agent. Covers architecture, SKILL.md patterns, multi-file workflows, and MCP integration. Designed for technical interviews at AI-forward agencies.
Build production-grade bridges between Slack, Microsoft Teams, and Missive. Learn OAuth 2.0, Bolt.js, bidirectional message routing, deduplication, and resilience patterns — all directly relevant to the codeswitcher integration role.
Learn how to use Obsidian vaults as a persistent, structured memory layer for Claude Code — the foundation of codeswitcher's Second Brain architecture.
Three tactical lessons preparing you for the Head of IT interview at codeswitcher — covering Second Brain architecture, predicted interview questions with structured answers, and live demo strategy.
Understand every MCP transport at the protocol level — stdio, SSE, and streamable HTTP. Covers framing, latency budgets, failover patterns, and the decision framework interviewers expect you to recite cold.
Five deep-dive lessons on building bulletproof idempotent pipelines with Redis deduplication keys, Lua scripts, BullMQ, Redis Streams consumer groups, and end-to-end webhook processing — with exact Redis commands and interview-ready explanations.
Six deep lessons on building production-grade Node.js systems — circuit breakers, rate limiting, health endpoints, PM2 process management, Nginx reverse proxying, and full system design. Each lesson ends with a clear interview answer strategy.
Seven lessons covering every question you will face in a Second Brain / MCP integration interview — with structured answers, weak-area drills, and practical code exercises. Built from real interview experience.