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View all blog postsWeekend Reading #77
This week: a comprehensive .NET testing guide covering everything from unit test fundamentals to gRPC contract testing. Netflix introduces MediaFM, their first tri-modal foundation model for deep content understanding. LinkedIn reveals how LLM embeddings and Generative Recommender models are powering the next generation of feed ranking for 1.3 billion users. And Pinterest walks through building a full MCP ecosystem — from registry and security to 66K monthly invocations, saving thousands of engineering hours.
Weekend Reading #76
This week: Uber shows how AI agents can automate design system documentation via MCP and how real-time batching solves hot-key payment bottlenecks at scale. Airbnb shares a transformer-based model for recommending travel destinations to exploratory users. And Pinterest details how unified context-intent embeddings power their Analytics Agent — now the most widely adopted internal agent at the company.
Part 10: Testing – C# / .NET Interview Questions and Answers
60+ C# / .NET testing interview questions with code examples. Covers unit testing, integration testing, gRPC, contracts, distributed systems, Playwright, and performance.
Weekend Reading #75
This week: featuring MCP protocol deep dive, Airbnb's dynamic configuration platform Sitar, Pinterest's 96% reduction in Spark OOM errors with Auto Memory Retries, and Lyft's LLM-powered localization pipeline for faster internationalization.
What is the Model Context Protocol (MCP)
MCP is the universal standard for connecting AI agents to external tools and data. Learn what it is, how it works, and why every major AI company adopted it.