LLM

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

This week: Netflix shares how it runs LLM serving inside its own production ML platform, Uber shows a scalable identity-verification architecture for Apple Wallet IDs, Meta connects AI storage design directly to GPU utilization, and Cloudflare explains a reliability-focused redesign of Workers KV after a major outage.

This week: a practical guide to 10 ADR anti-patterns with concrete examples showing how to write architecture decisions that actually help your team. Uber shares two infrastructure deep dives — making OpenSearch zone-failure resilient with isolation groups and forced shard allocation awareness, and GitFarm, a Git-as-a-Service platform that delivers full monorepo checkouts in under 500ms. And Dropbox traces the decade-long evolution of Riviera from file preview service to a universal content processing platform now powering AI ingestion at 2.5 billion requests per day.

Weekly tech digest featuring a massive Agile & Scrum interview guide with DORA metrics and scaling patterns, Uber's Cart Assistant agentic grocery system built on multi-prompt state graphs, Slack's Shipyard immutable EC2 platform with layered AMIs and automatic instance cycling, and Stripe's graph-based auto-remediation system cutting MongoDB pager volume by 30%.

Weekly tech digest featuring a practical guide to 17 prioritization frameworks with formulas and examples, Netflix's brutally honest Service Topology production postmortem, Uber's SPIRE-backed AI agent identity framework with full actor chain propagation, and Uber's artifact storage modernization cutting 5PB/month egress by 99% with a custom validation proxy.

This week: a comprehensive 800+ question .NET interview guide covering everything from C# fundamentals to AI and distributed systems. Airbnb goes deeper into its Sitar platform with sitar-agent — the Kubernetes sidecar that reliably delivers dynamic config at the pod level. Pinterest shares the full journey of building production Ray infrastructure on Kubernetes, from KubeRay workarounds to cost governance. And Lyft explains how their metric semantic layer creates a single source of truth for key data definitions across the organization.

Prepare for your next .NET interview with 800+ interview questions and answers covering C#, ASP.NET Core, SQL, NoSQL, microservices, distributed systems, testing, AI, Agile, desktop and mobile development. For developers, senior engineers, architects and tech leads.

In this article, we review AI, LLM, prompting, .NET AI integration, Semantic Kernel, Microsoft Agent Framework, MCP, RAG, resilience, testing, observability, security, and AI coding tools for .NET engineers.

This week: a practical .NET guide to managing AI conversation history with four strategies from full replay to vector recall. Uber shares DeepETT, a graph-aware transformer serving 2 million real-time traffic forecasts per second across 100 million road segments, driving $100M in annual value. And Airbnb details its shift from PaaS to a unified knowledge-graph infrastructure that powers identity resolution at scale.

Learn how modern LLMs are trained, from pretraining and instruction tuning to SFT, RLHF, DPO, and model distillation. This guide explains how raw foundation models become production-ready AI assistants, coding copilots, and enterprise agents.

This week: featuring a beginner-friendly LLM explainer, Uber's Tarot platform solving Multiple Knapsack optimization for incentive allocation at scale, Airbnb's Skipper embedded workflow engine for durable execution without external dependencies, and Lyft's end-to-end mapping system for smarter pickups in gated communities.

Learn four ways to manage AI conversation history in .NET: full replay, sliding window, summary buffer, and vector recall. C# code, costs, and trade-offs.

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.

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 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.

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.

This week, we dive into SQL performance tips, Uber’s approach to fault-tolerant analytics, and how TikTok cut AI costs in half with smart caching.