AI Tools6 min read
How to Run a Local LLM on Your Own PC (Beginner's Guide)
Run large language models on your own computer: hardware requirements, quantization explained, setup with Ollama, using the local API from code, and realistic expectations.
AI Tools
How to get real work done with AI assistants, APIs and automation.
6 guides
AI Tools7 min read
RAG Explained for Developers: How Retrieval-Augmented Generation Works
What RAG is, why it beats stuffing documents into prompts, and how each step works: chunking, embeddings, vector search, reranking and evaluation.
AI Tools6 min read
How to Write Better Prompts for AI Coding Assistants
A practical framework for prompting AI coding assistants: give context, set constraints, ask for a plan first and verify the output. With before-and-after examples.
AI Tools6 min read
Using AI to Write Unit Tests: A Practical Workflow That Works
A step-by-step workflow for generating useful unit tests with AI assistants: list behaviors first, generate, run, mutate and review — with pytest examples.
AI Tools6 min read
What Are Tokens in AI Models? Costs and Limits Explained
What tokens are, how text becomes tokens, how to estimate them, and how tokens drive the cost, context window and speed of every AI API call.
AI Tools6 min read
AI Code Review: What Works, What Doesn't, and How to Set It Up
How to use AI for code review effectively: what it catches, where it fails, prompts that reduce noise, CI integration and how to keep humans in the loop.