Scott Miller - Super Awesome AI Source (Page 78)

WebAssembly

7 Ways Backend Engineers Are Mistakenly Treating Wasm-Based Agent Sandboxing as a Sufficient Per-Tenant Execution Isolation Primitive for Multi-Tenant Agentic Pipelines in 2026

WebAssembly has had an extraordinary run. What started as a browser performance trick has matured, through the Wasm 3.0 specification and the WASI Component Model, into a genuinely compelling server-side runtime primitive. It is fast, portable, and ships with a capability-based security model that looks, on paper, like exactly

AutoGen

7 Ways Backend Engineers Are Mistakenly Treating AutoGen 0.4's Actor-Based Agent Runtime as a Safe Per-Tenant Execution Sandbox

Microsoft's AutoGen 0.4 was a landmark architectural shift. It moved away from the conversation-centric model of earlier AutoGen versions and introduced a proper actor-based agent runtime, inspired by the actor model popularized by frameworks like Erlang and Akka. Agents became first-class, message-passing entities. The AgentRuntime became the

Model Context Protocol

7 Ways Backend Engineers Are Mistakenly Treating Anthropic's Model Context Protocol as a Secure Per-Tenant Tool Registration Standard (And Why It's Silently Collapsing Tool-Call Authorization Boundaries in Multi-Tenant Agentic Pipelines in 2026)

Anthropic's Model Context Protocol (MCP) has become the de facto lingua franca for connecting large language models to external tools, data sources, and services. Since its open-source release, the backend engineering community has embraced it with remarkable speed, plugging it into everything from internal developer portals to customer-facing

AI Agents

A Beginner's Guide to Multi-Tenant AI Agent Observability: Build Your First Per-Tenant Tracing and Logging Pipeline Before Blind Spots Become Production Incidents

You just shipped your first agentic feature. Maybe it is a customer-facing AI assistant, an automated workflow engine, or a code-review bot that runs inside your SaaS product. Your agents are handling real user requests, tool calls are firing, LLM responses are streaming back, and everything looks fine in your

AI Agents

7 Predictions for How the Per-Tenant AI Agent Cost Attribution Crisis Will Force Backend Engineers to Rearchitect Multi-Tenant LLM Billing Before Q4 2026

There is a financial reckoning quietly building inside every SaaS company that embedded AI agents into their product in 2024 and 2025. It does not show up loudly in a single incident report. It accumulates slowly, invoice by invoice, sprint by sprint, until one day a VP of Engineering walks

fintech

How a FinTech Platform's Multi-Tenant Agentic Pipeline Collapsed Under Audit Scrutiny (And the Tamper-Evident Architecture That Saved Its License)

In early 2026, a mid-sized embedded finance platform we'll call NovaPay came within days of losing its operating license. The cause was not a data breach, a fraud incident, or a rogue model. It was something far more subtle and, frankly, far more instructive: the company's

LLM platforms

How the March 2026 Model Release Wave Broke Per-Tenant Model Selection Logic (and the Dynamic Capability Fingerprinting Architecture You Need to Survive the Next One)

In the span of roughly three weeks this past March 2026, the AI industry did something it had never quite managed before: it released more than a dozen significant large language models simultaneously. Not sequentially. Not in a polite, one-per-month cadence that backend teams could absorb. All at once, in

Agent2Agent

7 Ways Backend Engineers Are Mistakenly Treating Google's Agent2Agent Protocol as a Secure Cross-Tenant Communication Standard (And Why It's Silently Destroying Tenant Boundary Enforcement in Multi-Tenant Agentic Pipelines in 2026)

Google's Agent2Agent (A2A) protocol arrived with enormous fanfare. Positioned as the lingua franca for autonomous AI agents to discover, negotiate with, and delegate tasks to one another, it quickly became the backbone of countless multi-agent systems built in late 2025 and into 2026. Backend engineers, already under pressure

Agentic AI

7 Predictions for How the Agentic AI Wave of March 2026 Will Force Backend Engineers to Rearchitect Per-Tenant Model Routing in Multi-Tenant LLM Platforms

Something significant shifted in the first quarter of 2026. NVIDIA's GTC conference in March didn't just showcase faster silicon; it effectively announced the era of production-grade agentic AI. Paired with the relentless proliferation of open-weight models from labs like Meta, Mistral, Alibaba, and a growing cohort

LLM

How to Build a Per-Tenant AI Agent SLA Enforcement Pipeline for Multi-Tenant LLM Platforms That Guarantees Latency Budget Isolation When Shared Inference Infrastructure Degrades Under Peak Load

Here is the uncomfortable truth that most platform engineers discover too late: when your shared GPU inference cluster hits 85% utilization at 2 AM on a Tuesday, your enterprise tier customers and your free tier users are, by default, fighting over the exact same queue. One badly-timed batch job from

OpenAI Responses API

7 Ways Backend Engineers Are Mistakenly Treating OpenAI's Responses API Stateful Session Management as a Safe Per-Tenant Conversation Isolation Primitive (And Why It's Silently Bleeding Cross-Tenant Context in Multi-Tenant Agentic Pipelines)

There is a subtle, dangerous, and increasingly common architectural mistake spreading through backend engineering teams building multi-tenant SaaS products on top of OpenAI's Responses API in 2026. It is quiet. It does not throw exceptions. It does not trigger rate limit errors. Your monitoring dashboards will look perfectly

Laravel 13

7 Ways Backend Engineers Are Mistakenly Treating Laravel 13's New Pipeline Abstractions as Safe Orchestration Primitives for Multi-Tenant AI Agent Tool-Call Sequencing (And Why It's Silently Breaking Per-Tenant Execution Isolation in 2026)

Laravel 13, released in February 2026, brought a wave of genuinely exciting upgrades: a refreshed service container, a streamlined middleware pipeline, and first-class stability for the Laravel AI SDK. For backend engineers building multi-tenant SaaS platforms on top of agentic AI workflows, those pipeline improvements looked like a gift. Finally,