Building Lightweight Harnesses for Modern AI-Native Engineering Teams

This paper describes a practical approach to engineering lightweight AI harnesses for modern AI-native applications. It explains how to simplify AI orchestration, standardize runtime behavior, and declutter Markdown configuration files across enterprise engineering teams.

Authors

Dharmendra Singh (ORCID: https://orcid.org/0000-0002-4861-3805)

Institutions

Cisco Systems (United States) (US)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2026-06-29
DOI: https://doi.org/10.5281/zenodo.21047293
Primary Topic: Scientific Computing and Data Management
Type: article
Field-Weighted Citation Impact: 0.00

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article

Building Lightweight Harnesses for Modern AI-Native Engineering Teams

Dharmendra Singh

Jun 29, 2026

Zenodo (CERN European Organization for Nuclear Research)

Scientific Computing and Data Management

article

Building Lightweight Harnesses for Modern AI-Native Engineering Teams

Dharmendra Singh

June 29, 2026article en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

Cisco Systems (United States) (US)

Openalex Percentile: Top 4%

Scientific Computing and Data Management

DOI Open Access PDF OpenAlex

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Building Lightweight Harnesses for Modern AI-Native Engineering Teams — Dharmendra Singh · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS