Cloud

This week: Anthropic redesigns code review around evidence and risk; LinkedIn combines generated data documentation with owner-maintained knowledge; Uber reduces translation-cache memory without introducing network calls; and Stripe discovers why more training data can make fraud detection worse.

A practical overview of MilTech and DefenseTech for software engineers, covering drones, AI, autonomy, electronic warfare, edge computing, C2 systems, tech stacks, major industry players, development constraints, and current trends shaped by the war in Ukraine.

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

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.

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 part of C# / .NET interview questions and answers covering modern desktop development: WinUI 3, .NET MAUI, Avalonia UI, MVVM architecture with CommunityToolkit, performance optimization, data storage with EF Core and SQLite, secure credentials, background sync, MSIX packaging, and auto-update strategies. 

This article explores the differences, trade-offs, and use cases of each architecture. We'll also cover hybrid models, common patterns, real-world examples, and visual diagrams to make the concepts easier to understand.

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

In this article, we explore microservices and distributed systems interview questions and answers, and what every .NET engineer should know, from service boundaries and BFF to sagas, events, service discovery, and communication patterns.

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

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

Weekly tech digest: simple ACID guide, Uber’s HiveSync data lake replication, Atlassian’s new CI/CD platform, and Pinterest’s Moka data processing system.

This chapter explores design patterns, anti-patterns, and principles that are usually used across development on .NET. 

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

This chapter explores advanced asynchronous and parallel programming in .NET, including Tasks, Thread Pools, channels, race conditions, context switches, and best practices.