Augment Engineering: A Methodology for Multi-Tool AI Orchestration Across Professional Domains
The paper titled 'Augment Engineering' introduces a methodology for orchestrating multiple AI tools across various professional domains. It emphasizes the importance of meta-skills such as prompt and context engineering, which can be applied universally across different AI tools. A case study demonstrates the effectiveness of this approach, although further research is needed to confirm its broader applicability.
- ▪Organizations often deploy separate AI tools for different domains, requiring domain specialists for each.
- ▪Augment Engineering is defined as the orchestration of multiple AI tools using transferable skills.
- ▪A case study showed promising results in applying these skills across seven professional domains.
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Computer Science > Software Engineering arXiv:2605.26146 (cs) [Submitted on 22 May 2026] Title:Augment Engineering: A Methodology for Multi-Tool AI Orchestration Across Professional Domains Authors:Elias Calboreanu View a PDF of the paper titled Augment Engineering: A Methodology for Multi-Tool AI Orchestration Across Professional Domains, by Elias Calboreanu View PDF HTML (experimental) Abstract:Organizations increasingly deploy separate purpose-built AI tools across professional domains, often hiring domain specialists for each, recreating the staffing models AI was expected to transform.
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