Tagged articles

cost-accuracy tradeoff

2 articles · Page 1 of 1
Ops Development & AI Practice
Ops Development & AI Practice
Oct 1, 2026 · Operations

Sonnet 5.5's Terminal-Bench 4.0 Win: Costly Mirage? DevOps Model Selection Guide

The article analyzes Claude Sonnet 5.5's 70.6% Terminal-Bench 4.0 score, revealing it only surpasses Opus 5.5 at $13 per task via brute-force retries, while Opus dominates at practical $1-8 budgets; it maps scores to DevOps task complexity and provides a four-quadrant model selection matrix based on blast radius and state depth.

Claude Sonnet 5.5DevOpsOpus 5.5
0 likes · 19 min read
Sonnet 5.5's Terminal-Bench 4.0 Win: Costly Mirage? DevOps Model Selection Guide
Architect's Guide
Architect's Guide
Jan 19, 2026 · Artificial Intelligence

Mastering Prompt Engineering: From Blind Prompting to Reliable LLM Solutions

This article explains how to treat prompt engineering as a systematic, experiment‑driven practice—distinguishing it from blind prompting—by defining problems, building demo sets, crafting and testing prompt candidates, evaluating accuracy versus cost, and establishing verification loops for reliable large language model applications.

LLM testingLarge Language ModelsPrompt Engineering
0 likes · 16 min read
Mastering Prompt Engineering: From Blind Prompting to Reliable LLM Solutions