Tag: prompt engineering

Chain-of-Thought Prompting Guide: Boosting LLM Reasoning and Factuality
Chain-of-Thought Prompting Guide: Boosting LLM Reasoning and Factuality

Tamara Weed, Apr, 29 2026

Learn how Chain-of-Thought prompting improves LLM reasoning by breaking complex problems into steps. Discover best practices, scaling secrets, and trade-offs.

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Mastering Inline Code Context for Better Vibe-Coded Changes
Mastering Inline Code Context for Better Vibe-Coded Changes

Tamara Weed, Apr, 27 2026

Stop fighting your AI coding assistant. Learn how to use inline code context and context engineering to reduce revisions by 73% and master the art of vibe coding.

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Style Guides for Prompts: Achieving Consistent Code Across AI Sessions
Style Guides for Prompts: Achieving Consistent Code Across AI Sessions

Tamara Weed, Apr, 26 2026

Learn how to create prompt style guides to ensure AI-generated code remains consistent across sessions, reducing technical debt and review time.

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Vibe Coding in 2025: How AI is Changing the Software Engineering Role
Vibe Coding in 2025: How AI is Changing the Software Engineering Role

Tamara Weed, Apr, 19 2026

Explore how vibe coding is transforming software engineering in 2025, shifting the role from manual coding to AI orchestration and high-level system architecture.

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Long-Context Prompt Design: How to Fix the 'Lost in the Middle' Problem
Long-Context Prompt Design: How to Fix the 'Lost in the Middle' Problem

Tamara Weed, Apr, 16 2026

Learn how to overcome the 'Lost in the Middle' phenomenon in LLMs by strategically positioning critical information to maximize model attention and accuracy.

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Prompt Templates for Generative AI: Reusable Patterns for Business
Prompt Templates for Generative AI: Reusable Patterns for Business

Tamara Weed, Apr, 9 2026

Learn how to use reusable prompt templates to standardize Generative AI outputs for marketing, customer support, and data analytics to ensure business consistency.

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Prompt Hygiene for Factual Tasks: How to Stop LLMs from Making Mistakes
Prompt Hygiene for Factual Tasks: How to Stop LLMs from Making Mistakes

Tamara Weed, Feb, 21 2026

Prompt hygiene stops LLMs from making dangerous mistakes by using clear, structured instructions. Learn how precise prompts cut hallucinations by over half and prevent security risks in clinical, legal, and financial tasks.

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Prompt Libraries and Reuse: Managing Templates for Large Language Model Teams
Prompt Libraries and Reuse: Managing Templates for Large Language Model Teams

Tamara Weed, Feb, 19 2026

Prompt libraries help AI teams deliver consistent, high-quality results by reusing tested templates. Learn how top teams build, manage, and measure them - and why it's becoming essential for enterprise AI.

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

Tamara Weed, Feb, 15 2026

Chain-of-Thought prompting improves AI coding by forcing explanations before code. It cuts errors, boosts logic, and transforms how developers use AI-when used right.

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Deterministic Prompts: How to Get Consistent Answers from Large Language Models
Deterministic Prompts: How to Get Consistent Answers from Large Language Models

Tamara Weed, Dec, 26 2025

Learn how to reduce unpredictable responses from AI models using deterministic prompts, temperature settings, and other proven techniques. Get consistent, reliable outputs for production use.

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Prompt Sensitivity in Large Language Models: Why Small Word Changes Change Everything
Prompt Sensitivity in Large Language Models: Why Small Word Changes Change Everything

Tamara Weed, Nov, 20 2025

Small changes in how you phrase a question to an AI can drastically change its answer. Learn why prompt sensitivity happens, which models are most reliable, and how to get consistent results-especially in high-stakes fields like healthcare.

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Anti-Pattern Prompts: What Not to Ask LLMs in Vibe Coding
Anti-Pattern Prompts: What Not to Ask LLMs in Vibe Coding

Tamara Weed, Nov, 13 2025

Anti-pattern prompts in vibe coding lead to insecure AI-generated code. Learn the most dangerous types of prompts, why they fail, and how to write secure, specific instructions that prevent vulnerabilities before they happen.

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