Tools

DeepSeek Harness is an open-source agent runtime where every layer is a plugin. Here's what it actually does and who should care.

Google bid $10M for Spirit Airlines' emails and internal messages. Here's how to estimate what your own operational data is worth.

Learn how to build a functional data lakehouse using DuckDB and the DuckLake extension, covering local and S3-backed Parquet storage for near-zero cost.

Multi-agent pipelines often fail not with errors, but with valid-looking outputs built on corrupt data. Here's an architecture to catch it.

August 2026's top GitHub repositories focused on agent harnesses, skills, memory layers, and document tooling — with one repo gaining 190K+ stars in four weeks.

A structured guide to the seven stages of an AI project lifecycle, covering problem definition, data, modeling, evaluation, deployment, and monitoring.

A developer moves a working local data pipeline to AWS EC2 and discovers every hidden assumption baked into single-machine setups.

Learn how to combine a scikit-learn churn prediction pipeline with an LLM-powered agentic AI system into a single autonomous Python workflow.

Learn how to run Muse Glimmer 30B locally using llama.cpp with DFlash speculative decoding and the Pi coding agent for agentic workflows.

LLMs have shifted how software engineers spend their time. Here are three techniques to manage projects more effectively with AI agents.

A rule-based document parsing dispatcher gives enterprise RAG pipelines explicit, inspectable control over which methods run and why.

Prompt engineering helps you ask better questions. Specification engineering defines what a correct answer actually looks like.