TeamStation AI Engineering Ontology 2026.2

Published: 18 August 2026| Version 1 | DOI: 10.17632/2r94x584s3.1
Contributor:
Lonnie McRorey

Description

A public research dataset containing 24 AI engineering domains maintained by TeamStation AI. Each record connects a stable concept ID to a definition, responsibilities, required skills, tools, enterprise outcomes, hiring signals, related concepts, role titles, technology affinities, and Distributed Engineering OS mappings. The dataset supports research on AI-native software delivery, human and agent team composition, engineering-capacity planning, retrieval, and knowledge graphs. It does not validate people, predict employment performance, or authorize automated employment decisions.

Files

Steps to reproduce

Parse the JSON topLevelDomains array and flatten each record into one CSV row. Join array values with a vertical bar separator. Verify 24 unique IDs and preserve all source values. Compare file hashes against checksums.sha256.

Categories

Computer Science, Artificial Intelligence, Software Engineering

Licence