• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: code generation patterns

Prompting LLMs for Code: Proven Patterns for Unit Tests and Refactors
Prompting LLMs for Code: Proven Patterns for Unit Tests and Refactors

Tamara Weed, May, 28 2026

Master LLM code generation with proven prompt patterns. Learn how to use Context/Instruction and Recipe frameworks to generate precise unit tests and refactors, reducing errors and saving time.

Categories:

Enterprise Technology

Tags:

LLM prompt engineering code generation patterns unit test prompts refactoring with AI software development workflows

Recent post

  • Monitoring Bias Drift in Production LLMs: What You Need to Know in 2026
  • Monitoring Bias Drift in Production LLMs: What You Need to Know in 2026
  • How Generative AI Transforms Construction Bids, Schedules, and Safety Plans
  • How Generative AI Transforms Construction Bids, Schedules, and Safety Plans
  • SLAs and Support: What Enterprises Really Need from LLM Providers in 2025
  • SLAs and Support: What Enterprises Really Need from LLM Providers in 2025
  • GPU Selection for LLM Inference: A100 vs H100 vs CPU Offloading
  • GPU Selection for LLM Inference: A100 vs H100 vs CPU Offloading
  • Human Feedback in the Loop: Scoring and Refining AI Code Iterations
  • Human Feedback in the Loop: Scoring and Refining AI Code Iterations

Categories

  • Enterprise Technology
  • Science & Research

Archives

  • October 2026
  • September 2026
  • August 2026
  • July 2026
  • June 2026
  • May 2026
  • April 2026
  • March 2026
  • February 2026
  • January 2026
  • December 2025
  • November 2025

Tags

vibe coding prompt engineering generative AI large language models transformer architecture LLM security AI governance Large Language Models prompt injection data privacy AI coding tools AI development responsible AI AI compliance AI code generation multimodal generative AI LLM optimization transformer models enterprise AI LLM architecture

© 2026. All rights reserved.