• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: organizational adoption

Executive Playbook for Scaling Vibe Coding Across the Organization
Executive Playbook for Scaling Vibe Coding Across the Organization

Tamara Weed, Mar, 2 2026

Vibe coding lets non-technical teams build working apps in hours, not weeks. This playbook shows executives how to scale it safely, securely, and without bureaucracy - turning every employee into a builder.

Categories:

Science & Research

Tags:

vibe coding AI development scaling no-code organizational adoption AI-powered apps

Recent post

  • ROI Modeling for Vibe Coding: How AI-Powered Development Cuts Costs, Speeds Up Delivery, and Boosts Quality
  • ROI Modeling for Vibe Coding: How AI-Powered Development Cuts Costs, Speeds Up Delivery, and Boosts Quality
  • Beyond BLEU and ROUGE: Semantic Metrics for LLM Output Quality
  • Beyond BLEU and ROUGE: Semantic Metrics for LLM Output Quality
  • Pretraining Objectives in Generative AI: Masked Modeling, Next-Token Prediction, and Denoising
  • Pretraining Objectives in Generative AI: Masked Modeling, Next-Token Prediction, and Denoising
  • Deterministic Prompts: How to Get Consistent Answers from Large Language Models
  • Deterministic Prompts: How to Get Consistent Answers from Large Language Models
  • Scaling Laws in Practice: When to Stop Training Large Language Models
  • Scaling Laws in Practice: When to Stop Training Large Language Models

Categories

  • Enterprise Technology
  • Science & Research

Archives

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

Tags

vibe coding prompt engineering large language models generative AI transformer architecture LLM security AI governance Large Language Models data privacy prompt injection AI coding tools responsible AI AI compliance LLM optimization transformer models AI development AI coding assistants LLM evaluation LLM-as-a-Judge multimodal generative AI

© 2026. All rights reserved.