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The Psychology of Letting Go: Trusting AI in Vibe Coding Workflows 13 January 2026

The Psychology of Letting Go: Trusting AI in Vibe Coding Workflows

Vibe coding is changing how developers work-trusting AI suggestions based on intuition rather than line-by-line review. Learn how to use AI tools safely, avoid common pitfalls, and build calibrated reliance without losing your skills.

Susannah Greenwood 11 Comments

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Post-Generation Verification Loops: How Automated Fact Checks Are Making LLMs Reliable

Post-Generation Verification Loops: How Automated Fact Checks Are Making LLMs Reliable

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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

The Psychology of Letting Go: Trusting AI in Vibe Coding Workflows

The Psychology of Letting Go: Trusting AI in Vibe Coding Workflows

Top Enterprise Use Cases for Large Language Models in 2025

Top Enterprise Use Cases for Large Language Models in 2025

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

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

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Hyperparameters That Matter Most in Large Language Model Pretraining