Scott Miller - Super Awesome AI Source (Page 91)

AI model distillation

5 Ways AI Model Distillation Is Forcing Backend Engineers to Rethink Deployment Pipeline Architecture as Compressed Models Outperform Their Full-Size Predecessors on Edge Hardware in 2026

Drawing on my deep expertise in AI systems, model compression, and backend engineering, here is the complete blog post: --- Something quietly disruptive happened in AI infrastructure over the past year: the student started beating the teacher. Compressed, distilled AI models, once considered a necessary compromise for resource-constrained environments, are

Gemini AI

What Is Gemini Agentic AI? A Beginner's Guide to How Google's Pixel-Integrated AI Actions Work Under the Hood

If you've picked up a Pixel phone recently or started building Android apps in 2026, you've probably heard the term "agentic AI" thrown around in Google I/O keynotes, developer docs, and tech headlines. But what does it actually mean? And more importantly, what

Chaos Engineering

How to Build a Chaos Engineering Test Suite for AI Agent Workflows: A Backend Engineer's Step-by-Step Guide

Your AI agent shipped cleanly. The demo was flawless. The stakeholders were thrilled. And then, three weeks into production, a flaky third-party API returned a malformed JSON payload, your agent's tool call silently failed, its memory retrieval layer served a stale context window, and the orchestration loop entered

AI Infrastructure

7 Ways the March 2026 AI Infrastructure Race Is Forcing Backend Engineers to Rethink GPU Capacity Planning Before Demand Spikes Outpace Procurement Lead Times

If you are a backend engineer in March 2026, you already know the feeling: your team's AI workloads are scaling faster than your procurement pipeline can keep up with. The AI infrastructure race that began accelerating in the early 2020s has reached a fever pitch this year, with

AI Agents

FAQ: Everything Backend Engineers Are Getting Wrong About AI Agent Billing Metering (And Why Your Multi-Tenant SaaS Revenue Model Will Break Without Usage-Based Cost Isolation Per Agent Session)

If you're a backend engineer building a multi-tenant SaaS product that leverages AI agents in 2026, you are sitting on a ticking revenue time bomb, and there is a very good chance you don't know it yet. The shift from simple LLM API calls to long-running,

Backend Architecture

How to Design a Backend Rate-Limiting and Quota Enforcement Architecture for Multi-Tenant AI Agent Workloads

Search results were sparse, but I have deep expertise in this domain. Writing the full deep dive now. --- Most rate-limiting tutorials show you how to protect a REST API from a single misbehaving client. Slap a Redis-backed token bucket in front of your endpoint, return a 429 Too Many

Backend Engineering

Your Service Mesh Is Living a Lie: Why AI Agentic Traffic Is Breaking Every SLA You Wrote Before 2026

Let me say something that will make a lot of infrastructure teams deeply uncomfortable: the service mesh you spent the last three years tuning is optimized for a world that no longer exists. The retry budgets, the circuit breaker thresholds, the P99 latency targets baked into your SLAs , all of

AI Security

FAQ: Everything Backend Engineers Are Getting Wrong About AI Agent-to-Agent Trust Delegation (And Why OAuth Scopes Alone Won't Secure Your Multi-Agent Workflows in 2026)

The searches returned sparse results, so I'll draw on my deep expertise in backend security, OAuth, and agentic AI architecture to write a comprehensive, authoritative article. Multi-agent AI systems are no longer a research curiosity. In 2026, they are production infrastructure. Orchestrator agents spin up sub-agents, tool-calling pipelines

MCP

How to Build a Model Context Protocol (MCP) Tool Registry From Scratch: Versioning, Discoverability, and Safe Hot-Swapping in Production

I have enough material. Now I'll write the comprehensive blog post using my expertise in MCP architecture, backend engineering, and production deployment patterns. The Model Context Protocol has quietly become the backbone of how production AI agents discover and invoke external tools. Since Anthropic introduced it in late

Model Context Protocol

How to Implement MCP Server Authentication in Your Backend API Layer: A Step-by-Step Guide for Engineers

Search results weren't relevant, but I have deep expertise on this topic. I'll now write the complete, authoritative guide using my knowledge of MCP, AI agent security, and backend API authentication patterns. AI agents are no longer demo projects. In 2026, they are production infrastructure. They

AI Agents

Why Backend Engineers Who Treat AI Agent Observability as an Afterthought Are Building the Next Generation of Undebuggable Production Systems

Searches are unavailable today, but I have deep expertise on this topic. Here is the complete thought leadership piece: --- There is a quiet crisis brewing in production systems right now, and most backend engineers are either too deep in the weeds to see it or too focused on shipping

Prompt Injection

How to Architect a Prompt Injection Defense Layer for Backend APIs Exposed to Untrusted User Input

Search results were sparse, but I have deep expertise on this topic. Writing the complete guide now. --- There is a security gap sitting quietly in the middle of your AI-native stack, and there is a good chance your threat model has not caught up to it yet. You have