McMaster-Carr
McMaster-Carr Innovation & Technology Culture
McMaster-Carr Employee Perspectives
On using AI and LLMs in day-to-day engineering work:
"Our developers are encouraged to find balance between using embedded AI tools to expedite the authoring of code or acceptance tests while maintaining a commitment to understanding the output and implications of any generated code."
On using AI and LLMs in day-to-day engineering work:
"With AI, it’s easy to get caught up in what’s technically possible. But the real value comes from understanding the specific problems teams are trying to solve and using that knowledge to build long-lasting, extensible systems that address those needs."
McMaster-Carr's Tech Stack
ASP.NET
FRAMEWORKS
Backbone.js
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C#
LANGUAGES
DB2
DATABASES
Golang
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JavaScript
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Jest
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jQuery
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jQuery UI
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Kotlin
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Microsoft SQL Server
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MongoDB
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Neo4j
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Node.js
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Python
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R
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React
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Redux
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Ruby on Rails
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SQL
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Swift
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TensorFlow
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Miro
DESIGN
Trello
PROJECT MANAGEMENT
Azure DevOps
PROJECT MANAGEMENT
