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LLM Runtime

2 articles · Page 1 of 1
Architect
Architect
Sep 25, 2026 · Artificial Intelligence

From LLM Call to Full Harness: Understanding Agent Runtime Layers

The article traces the evolution from a simple LLM call to a complete Harness for AI agents, using a timeout-fixing task to illustrate the layered boundaries between model, loop, and harness, covering context engineering, tool execution, state management, verification loops, and design trade-offs in systems like Pi, Cursor, and Codex.

Context EngineeringLLM RuntimeState Management
0 likes · 34 min read
From LLM Call to Full Harness: Understanding Agent Runtime Layers
Old Zhang's AI Learning
Old Zhang's AI Learning
Aug 24, 2026 · Artificial Intelligence

What Is a Harness? The Runtime Environment That Lets You Own Your AI Agent

This article explains Harness as a software runtime that gives AI models a workspace — system prompt, tools, an agentic loop for self-directed reasoning, and a translation layer to swap models — using Pi Agent as a concrete example of a thin, user-extensible harness with over 5,000 community extensions.

AI AgentHarness²LLM Runtime
0 likes · 8 min read
What Is a Harness? The Runtime Environment That Lets You Own Your AI Agent