Agent-Architecture

Luminous loop representing harness engineering for long-running coding agents

Harness Engineering: Loops for Long-Running Coding Agents

LangChain tuned only the harness and lifted a coding agent from Top 30 to Top 5 on Terminal Bench 2.0 — no model change required. Here are the loop patterns that make it possible.

Abstract digital artwork showing a knowledge database, neural network, and balanced scales representing the RAG vs fine-tuning cost comparison

Measuring RAG vs. Fine-tuning ROI for Agent Knowledge

The TCO math has shifted decisively toward RAG for most enterprise agents — unless your query volume exceeds 100K/day with static knowledge.

Abstract network of glowing connection points representing protocol-based AI system integration

MCP: Why Every AI Agent Framework Is Racing to Adopt It

How MCP solves the M×N integration problem and why Block, Replit, Zed, and Sourcegraph are betting on Anthropic’s open standard for AI agent interoperability.