Weekend Reading #98
Weekend Reading #98: AI agent terminology, Uber’s MCP Gateway, Zalando’s delegated identity broker, and Meta’s petabit-class subsea cable design.
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See all postsWeekend Reading #98: AI agent terminology, Uber’s MCP Gateway, Zalando’s delegated identity broker, and Meta’s petabit-class subsea cable design.
30 AI terms in two or three plain sentences each, placed on one diagram: what the model sees, what it can call, and what runs around it. MCP, skills, hooks, subagents, RAG, workflows, and the pairs people mix up.
Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.
Once an AI agent can push to Git, prompt injection becomes an authorization problem. Six things to build before agents get write access: a scoped identity, a policy outside the model, a sandbox, MCP review, advisory CI, and traces.
EF Core makes the slow path look exactly like the fast path. A scan, an N+1 loop, and a Cartesian join all read like clean LINQ. This guide walks through 18 concrete mistakes across querying, related data, change tracking, indexes, plan caching, and context overhead, with the fix for each and a ready-to-use rule for your AI coding assistant.
Weekend Reading #96 covers AI controls across the SDLC, Meta’s confidential processing architecture for AI glasses, automated dependency analysis across Uber’s service mesh, and Elastic’s benchmark-driven system for safely optimizing Elasticsearch with coding agents.
AI across the software development lifecycle, from requirements and architecture to coding, testing, deployment, operations, security, and compliance. Practical guidance on AI authority, deterministic controls, human ownership, and safe engineering workflows.
AI speeds up coding, but shifts pressure to review, testing, security, maintainability, and CI. This article examines seven failure modes of AI-assisted development and where engineering teams should respond.
Weekly tech digest featuring a comprehensive AI interview guide for .NET engineers covering LLMs, RAG, agents, and MCP with C# examples, Zalando's in-process client-side load balancer handling 1M RPS with occupancy-based bounded load, Netflix's Vera and VOID research models for controllable AI video editing, and LinkedIn's autonomous QA Agent using vision-language models for AI-driven testing at scale.
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.
This week: distributed deadlocks, AI-assisted coding interviews, Uber’s Apache Hudi data lake at scale, and LinkedIn’s AI-powered search stack redesign.
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.