• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: no-code ML

Proof-of-Concept Machine Learning Apps Built with Vibe Coding
Proof-of-Concept Machine Learning Apps Built with Vibe Coding

Tamara Weed, Nov, 4 2025

Vibe coding lets anyone build machine learning proof-of-concept apps using natural language prompts. No coding experience needed. Learn how it works, which tools to use, and the real risks you can't ignore.

Categories:

Science & Research

Tags:

vibe coding machine learning prototype AI coding proof of concept ML no-code ML

Recent post

  • Code Execution for LLM Agents: How AI Runs Code, Risks Involved, and Best Practices
  • Code Execution for LLM Agents: How AI Runs Code, Risks Involved, and Best Practices
  • Post-Training Evaluation Gates Before Shipping a Large Language Model
  • Post-Training Evaluation Gates Before Shipping a Large Language Model
  • Portfolio Management for Generative AI Use Cases: Prioritization and Resourcing
  • Portfolio Management for Generative AI Use Cases: Prioritization and Resourcing
  • Executive Playbook for Scaling Vibe Coding Across the Organization
  • Executive Playbook for Scaling Vibe Coding Across the Organization
  • Cost-Aware Scheduling for Large Language Model Workloads: A Practical Guide
  • Cost-Aware Scheduling for Large Language Model Workloads: A Practical Guide

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.