Tools

Sakana Fugu coordinates multiple expert agents internally while exposing a single OpenAI-compatible API. Here's how it works, what it costs, and when to use it.

Agentic loops in Claude Code let AI work autonomously end-to-end. Here's how the /goal command makes that happen.

Ollama, Gemma 4, and OpenCode combine into a local AI coding stack that keeps your code off the cloud entirely.

When RAG users ask vague questions, a two-schema clarification loop asks once, learns the default, and stays silent on future equivalent requests.

Self-healing data pipelines remain out of reach for most teams. Here are the seven key barriers standing in the way.

Go beyond the basics with 7 practical Python dictionary patterns that make your code cleaner, safer, and more Pythonic.

A systems analyst transitioning to data engineering discovers that scheduling an ETL pipeline first requires making it portable.

Autoregressive models predict the next value using previous values. Learn how they work in time series forecasting and language modeling.

Gemini Omni adds video generation directly into Google's AI assistant. Here's what it can do, where it falls short, and how to access it.

DiffusionGemma generates and refines blocks of tokens in parallel using diffusion-style generation, making local inference faster than autoregressive models.

Learn how to combine BM25 lexical search with semantic vector search using Reciprocal Rank Fusion to improve retrieval in RAG systems.

Learn to build a multi-agent AI research assistant using the OpenAI Agents SDK, GPT-4o mini, and the Olostep Web API to produce structured, source-grounded repo