Master AI. Build better.

150 Prompts to Level Up Your Coding

A complete reference of ready-to-use AI prompts for every coding task — debugging, code review, refactoring, testing, architecture, security, and more. Copy, adapt, and go.

18 min read24 May 2026

Read article

27 articles

How to Write a System Prompt

System prompts are the single highest-leverage place to improve your AI results. Learn what goes into one, see three complete worked examples, and avoid the mistakes that make most system prompts useless.

Your First Claude API Call

Get from zero to a working Claude API integration in Python or Node.js. Covers installation, your first call, streaming, error handling, and the parameters that matter.

12 min

How to Chain Prompts to Tackle Complex Tasks

When a single prompt is not enough — how to break complex tasks into a chain of smaller, reliable steps. Three patterns and two complete worked examples.

Build a Prompt Library That You'll Actually Use

Great prompts get lost in chat history and forgotten. Here's a practical system for saving, organising, and reusing prompts — with 15 ready-to-copy starters.

Few-Shot Prompting: Show the AI What You Want

When describing what you want in words fails, showing the AI examples almost always works. A complete guide to few-shot prompting with four practical use cases.

Setting Up AI in Your Development Workflow

A practical guide to integrating AI into your IDE, terminal, and git workflow. Four layers, concrete setup steps, and an opinionated stack recommendation.

Context Windows Explained (And How to Stop Hitting the Limit)

Every AI model has a context window — a cap on how much it can see at once. Here's what that means in practice and how to work around it.

How to Choose the Right AI Model for Your Task

GPT-4o, Claude, Gemini, Mistral — the options are overwhelming. This guide cuts through the noise with a practical decision framework.

Temperature, Top-P, and Max Tokens Explained

Three settings that change everything about how an AI responds — yet most people leave them at defaults. Here's what they actually do.

7 min

12 Prompt Anti-Patterns (And How to Fix Them)

If your AI outputs are inconsistent or mediocre, the problem is almost always your prompt. Here are 12 common mistakes and how to fix each one.

RAG Explained: How AI Can Read Your Own Documents

Retrieval-Augmented Generation lets AI answer questions about your own files, databases, and knowledge bases. Here's how it actually works.

How to Spot and Fix AI Hallucinations

AI models confidently state wrong information. This guide teaches you to catch hallucinations and build prompts that dramatically reduce them.

AI for Marketers: 50 Prompts and Use Cases

From campaign ideation to ad copy to SEO briefs — 50 ready-to-use prompts that make AI your most productive marketing tool.

12 min

Image Generation Prompting: A Practical Guide

Midjourney, DALL-E, Stable Diffusion — the models differ, but great image prompts follow the same patterns. Here's the complete framework.

Why AI Hallucinates: The Real Reason

AI hallucinations aren't bugs or lies — they're an inevitable consequence of how language models work. Understanding why helps you build prompts that minimise them.

How Transformers Work (Plain English)

The transformer architecture powers every major AI model. Here's how it actually works — no PhD required, just curiosity.

13 min

Tokens, Embeddings, and Vector Search: The Building Blocks of Modern AI

Behind every chatbot, semantic search, and RAG system are three concepts: tokens, embeddings, and vector databases. Master them and you understand AI at the infrastructure level.

12 min

Claude vs GPT-4 vs Gemini: An Honest Comparison

The three dominant AI families approach the same tasks differently. Here's a no-hype breakdown of where each genuinely excels — and where each falls short.

RLHF Explained: How AI Learns to Be Helpful

Reinforcement Learning from Human Feedback is the technique that turned raw language models into the helpful assistants we use today. Here's the full story.

Zero-Shot, Few-Shot, and Chain-of-Thought: The Three Fundamental Prompting Strategies

Three techniques that unlock dramatically better AI outputs. Learn what they are, when to use each, and how to combine them for maximum effect.

How to Debug Faster With AI

Most developers use AI wrong when they're stuck on a bug. Here's a repeatable process for describing problems clearly, iterating when the first answer misses, and making AI a genuine debugging partner rather than a fancy search engine.

The 10 Prompting Patterns Every Developer Should Know

Beyond copy-pasting error messages — these are the reusable mental models that make AI genuinely useful for software engineering. Learn the pattern once, apply it to every problem.