Education Hub for Generative AI

Tag: LLM coding

Chain-of-Thought in Vibe Coding: Why Explanations Before Code Work Better 4 January 2026

Chain-of-Thought in Vibe Coding: Why Explanations Before Code Work Better

Chain-of-Thought prompting improves AI coding by forcing explanations before code. Learn how asking for step-by-step reasoning cuts bugs, saves time, and is now the industry standard for complex tasks.

Susannah Greenwood 4 Comments

About

AI & Machine Learning

Latest Stories

Causal Masking in Decoder-Only LLMs: How It Prevents Information Leakage and Powers Text Generation

Causal Masking in Decoder-Only LLMs: How It Prevents Information Leakage and Powers Text Generation

Categories

Featured Posts

Self-Attention and Positional Encoding: How Transformer Architecture Powers Generative AI

Self-Attention and Positional Encoding: How Transformer Architecture Powers Generative AI

Residual Connections and Layer Normalization in Large Language Models: Why They Keep Training Stable

Residual Connections and Layer Normalization in Large Language Models: Why They Keep Training Stable

Chain-of-Thought in Vibe Coding: Why Explanations Before Code Work Better

Chain-of-Thought in Vibe Coding: Why Explanations Before Code Work Better