Engineer Explains: Refactoring Allows Developers to be Wrong
Refactoring is the way of writing code so it can be modified and revitalized with time.
AI Engineering Does Not Equal Machine Learning
Do you think you know what AI engineering is?
Tejas Kumar, AI DevRel Engineer at DataStax, thinks the main problem with AI engineering is that it lacks a formal definition. Many people confuse it with machine learning, research, and engineering, but those are completely different skills.
AI engineering does not require academia, experience with machine learning models, Python, or linear algebra: it’s just applying AI to solve problems.
According to Tejas, one can do this without ever training anything; instead, one can just make a network request to an AI API and use the returned output to solve problems.
This video is a part of ShiftMag’s video series, Engineer Explains.
We’ve asked experienced engineers to share how they would explain some basic and some less basic tech terminology to different tech job titles or at three levels of experience — from junior developer to CTO.
More videos from the Engineer Explains series:
Test Driven Development
Refactoring Legacy Code
Agile Software Development
Career Tips for Tough Times ft. Pragmatic Engineer
OpenTelemetry and Observability 2.0
Large Language Models Explained
