Archive - The AI Runtime

Agent Quality Is a Loop Engineering Problem

Why enterprises need bounded, observable, and governed improvement loops for production AI agents, and how the open-source ASSERT framework engineers…

23 hrs ago • The AI Runtime

The New Role of the Senior Engineer in an Autonomous Development Workflow

Part II - Governing Codebase-Wide Change: When agents can refactor an entire system, the pull request stops being the unit of control. Senior engineers…

Aug 5 • The AI Runtime

July 2026

The New Role of the Senior Engineer in an Autonomous Development Workflow

Part I: The Senior Engineer Stops Being the Fastest Coder

Jul 28 • The AI Runtime

The AI System That Never Touches a Live Transaction

How Sphere separates probabilistic AI research from deterministic tax execution

Jul 17 • The AI Runtime

How FDEs Build Reliable Web Agents

Your Web Agent Needs a Trust Layer, Not a Bigger Model

Jul 6 • The AI Runtime

Building a Production-Grade AI Web Data Agent

Part 1: Getting the data reliably

Jul 2 • The AI Runtime

June 2026

When AI Loops Fail: The Production Incidents Behind Loop Engineering

These failures weren’t caused by bad prompts. They were caused by loops with authority but no control: a database gone in nine seconds, an agent that…

Jun 28 • The AI Runtime

What Is Loop Engineering? The Control System Behind Reliable AI Agents

The visible half of loop engineering is orchestration. The decisive half is the control system that keeps the loop bounded.

Jun 24 • The AI Runtime

Architecting the Auto-Updating Enterprise AI Data Loop

Tackling the AI Information Silos problem

Jun 22 • The AI Runtime

6:07

AI Made Individuals Faster. Why Are Teams Still Slow?

The Next Bottleneck in AI Systems Is Context Transfer

Jun 20 • The AI Runtime

16:40

State Machines for AI Agents: A field guide from Forward-Deployed Engineering

Agents reason. State machines remember.

Jun 18 • The AI Runtime

The "Self-Improving" AI Myth (And What 60 Production Deployments Actually Do)

Sixty production deployments converged on a three-layer architecture where the eval surface, not the base model, is the moat.

Jun 15 • The AI Runtime

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