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Vibe Coding

Exploring the intersection of AI-assisted programming, LLM probability, and the new paradigm of intent-driven software development.

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🔮Vibe Coding

Screenshot-to-Code vs. Specs-Driven Development: The 2026 Design Handoff Evolution

A real-world experiment reveals the profound gap between AI visual approximation and production-ready code. Learn why context pipelines are the future of design-to-code workflows.

January 9, 20268 min read

#vibe coding#AI development#design systems

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🔮Vibe Coding

Vibe Coding: Master AI-Assisted Programming with LLM Probability

Learn what vibe coding is, how LLM probability powers AI-assisted programming, and master the skills for the future of coding. Practical examples included.

January 6, 20266 min read

#vibe coding#AI programming#LLM

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🔮Vibe Coding

Why LLMs Can't Revise Tokens: The Feed-Forward Constraint Every Developer Must Understand

Learn why LLMs hallucinate and can't self-correct. Understand feed-forward token generation and master vibe coding strategies for better AI-assisted development.

January 6, 20269 min read

#LLM#token generation#feed-forward

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🔮Vibe Coding

The Generative Core: Understanding Hallucination in Large Language Models

Hallucination isn't a bug in LLMs—it's the generative process itself. Understanding this changes how we should think about working with these tools.

January 6, 202610 min read

#LLM hallucination#AI generation#confabulation

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🔮Vibe Coding

Why LLMs Fail at Complex Tasks: The Math Behind Compounding Error in AI Code Generation

Learn why LLMs fail on long reasoning chains due to compounding error. Includes mathematical proofs, real-world AI coding failures, and actionable engineering strategies to mitigate AI hallucinations in software development.

January 6, 202611 min read

#LLM limitations#compounding error#AI hallucinations

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🔮Vibe Coding

Attention Mechanisms in LLMs: The Complete Guide to How Transformers Really Work

Learn how attention mechanisms power large language models (LLMs) like GPT-4 and Claude. This in-depth guide explains Query-Key-Value math, multi-head attention, and long-context processing with real code examples.

January 6, 202612 min read

#attention mechanisms#transformers#LLM