AI

This week: a comprehensive .NET MAUI mobile development interview guide covering framework choices, MVVM, and cross-platform architecture. Netflix introduces the Model Lifecycle Graph a metadata service that makes every ML asset discoverable across business domains. Discord shares a detailed postmortem of their March voice outage, diving deep into Elixir process mailbox overload and Kubernetes safeguards. And Pinterest shows how injecting real-time context signals into sequential recommender models improves ad relevance and targeting.

In this article, we explain what a Large Language Model is, how LLMs work, what they excel at, where they fall short, and how they fit into real software products.

A practical guide to C# mobile development interviews in 2026. Covers .NET MAUI, Xamarin, architecture, performance, UI patterns, and real-world mobile engineering concepts with clear explanations and examples.

This week: a practical guide to Developer Experience and why slow builds, flaky tests, and tribal knowledge silently kill productivity. Slack reveals how they manage context across long-running multi-agent security investigations using structured journals and critical reviews. Airbnb goes deep on building fault-tolerant metrics storage at 50M samples/sec with shuffle sharding and automated tenant management. And Pinterest introduces MIQPS — a data-driven algorithm that learns which URL parameters matter for content identity, powering smarter deduplication across millions of domains.

This week: a comprehensive .NET desktop development interview guide covering WinUI 3, MAUI, and Avalonia. Lyft goes beyond A/B testing, using surrogates and region splits to measure long-term marketplace effects. Airbnb shares how COVID broke their forecasting models and the Bayesian architecture they built to survive the next shock. And Meta reveals the ML behind Friend Bubbles, blending social closeness models with content signals to power social discovery on Facebook Reels.

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.

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.

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.

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.

This week: Cloudflare’s MCP code mode, Uber’s database federation, Wix’s shift from prompting to AI management, and LinkedIn’s LLM-based ranking at scale.

Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.

Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.

This week: .NET Microservices and distributed systems interview prep, Netflix’s AI graph search evolution, LinkedIn’s job ingestion system at scale, and Dropbox’s AI platform insights.

This week: distributed deadlocks, AI-assisted coding interviews, Uber’s Apache Hudi data lake at scale, and LinkedIn’s AI-powered search stack redesign.

Weekly tech digest: DDD bounded contexts, Netflix Live Origin streaming infrastructure, Uber’s shift to cloud-native observability, and Lyft’s evolving feature store architecture

Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.

This week: NoSQL interview questions and answers, YouTube Shorts generation via AI, Pinterest’s recommendation quality improvements, and Uber’s real-time OLAP with Apache Pinot.

This chapter explores NoSQL Databases questions that  .NET engineers should be able to answer in an interview.

This week, we look at consistency models in distributed systems, Uber’s adaptive benchmarking framework, LinkedIn’s evolution of its Venice ingestion pipeline, and Meta’s new open-source platform for adaptive experimentation.

Weekly tech digest: CAP theorem basics, Uber’s probabilistic heatmaps, Dropbox’s context-aware AI, and Lyft’s modern ML platform architecture.

An article with a comparison between the dot-com bubble and today’s AI boom, highlighting the hype, the parallels, the fundamental differences, and why some AI companies will thrive while others will vanish during the inevitable market correction.