AI

1 week ago 789

AI Programming

How to Prompt Claude Fable 5 Efficiently: A Practical Guide

A hands-on guide to prompting Claude Fable 5 efficiently: front-loaded task briefs, effort sweeps with runnable Python, prompt caching that bills repeat prefixes at a tenth of the price.

2 weeks ago 159

AI Architecture Programming

The AI App Stack in 2026: Models, Tools, Queues, Vector Stores, and Observability

An architecture map of a production AI application in 2026 model gateway, orchestration, queues and workers, the vector/cache/database data layer with the decisions that matter at scale.

2 weeks ago 133

AI Programming

AI Coding Assistants: How to Use Them Without Destroying Code Quality

An opinionated guide to using AI coding assistants without wrecking your codebase where they shine, where they hurt, review discipline, quality, security pitfalls, and team norms that prevent AI debt.

3 weeks ago 143

AI Programming

RAG Is Not Just Search: Chunking, Ranking, Reranking, and Hallucination Control

Go beyond naive vector search chunking strategies, hybrid keyword+semantic ranking with RRF, cross-encoder reranking, context assembly, and layered hallucination control, with each change helps.

3 weeks ago 172

AI Databases Programming

Building a Private RAG System: Architecture, Embeddings, Vector DBs, and Evaluation

A full architecture walkthrough for a private, self-hosted RAG system ingestion, chunking, embeddings, vector databases and the evaluation loop that makes it trustworthy.

4 weeks ago 97

Python AI

A Practical Introduction to LLMs and RAG in Python, and Where to Go Next

The finale: LLMs explained with the concepts you already own, tokens and prompts, your first Claude API call from Python, a toy RAG engine in the browser, and the full map into the production LLM and MCP series.

4 weeks ago 60

Python AI

Deep Learning Basics in Python: Neural Networks with TensorFlow and Keras

Lesson 15: deep learning without hand-waving: what neurons compute, loss and gradient descent, backpropagation built by hand in NumPy in the browser, and a complete Keras Fashion MNIST classifier with dropout and transfer learning.

4 weeks ago 55

Python AI

Machine Learning Foundations in Python: First Models with scikit-learn

Lesson 14: train your first real machine learning models with scikit-learn: features and labels, train/test splits, fit/predict/score, a decision tree you can read, k-nearest-neighbors, and overfitting, live in the browser.

4 weeks ago 291

AI Linux Programming

Local AI in 2026: Ollama, vLLM, Docker Model Runner, and When to Use Each

An honest comparison of local AI tooling in 2026 — Ollama for laptops, vLLM for high-throughput GPU serving, and Docker Model Runner for container-native models, with a decision framework and VRAM sizing advice.

4 weeks ago 95

AI Python

Your First MCP Server with FastMCP and uv

Stand up a real MCP server with the official Python SDK: uv setup, FastMCP tools, how type hints become schemas, the Inspector loop, and connecting to Claude Code and Claude Desktop.