Expert Contributors Articles

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Akash Rathi Akash Rathi
Updated on April 29, 2026

The AI Hardware Era Is Here. Product Managers Aren’t Ready.

As AI devices become more common, product managers will increasingly work on hardware projects. Our expert explains how software development principles can translate.

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Luca Liu Luca Liu
Updated on April 28, 2026

How to Fix “error: externally-managed-environment” in Pip

In Python, error: externally-managed-environment occurs when a package manager is managing a Python environment, preventing the use of pip. Here’s how to solve it.

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Magen Gicinto Magen Gicinto
Updated on April 27, 2026

How to Spot — and Stop — Fake Job Applicants

What should you do when the threat to your company is asking for a job? Here’s what we learned from dealing with a fake job applicant.

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Jack Reichert Jack Reichert
Updated on April 23, 2026

Don’t Let Your AI Assistant Make You Lazy

AI coding tools can massively boost your productivity, but they can also undermine your skills. To avoid this, you should think of them as junior-level assistants.

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Michael Jerkins Michael Jerkins
Updated on April 22, 2026

Leadership Qualities: Key Traits of Effective Leaders

Explore the most important leadership qualities and learn how these traits help leaders guide teams and organizations effectively.

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Ankit Malik Ankit Malik
Updated on April 21, 2026

PascalCase vs. camelCase: Naming Conventions for Clean Code

PascalCase and camelCase are two different casing styles used in programming for naming variables, class and type names. Learn the differences and other casing styles. 

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Edward Hearn Edward Hearn
Updated on April 20, 2026

Nominal Data vs. Ordinal Data: What’s the Difference?

Ordinal data can be classified and ranked, whereas nominal data is categorized without any specific hierarchy. Let’s explore how these two data types stack up against each other and others.

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Friddy Hoegener Friddy Hoegener
Updated on April 20, 2026

Your AI System Just Rejected the Candidate You Actually Needed — Now What?

AI hiring tools focus too rigidly on the surface-level elements of a candidate’s profile. You have to build a holistic process to dig deeper.

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Ankush Rastogi Ankush Rastogi
Updated on April 16, 2026

If You’re Still Hiring for AI Fluency, You’re Setting Yourself Up to Fail

Too many organizations understand the AI skills gap backwards, focusing too much on the output layer. Most AI projects that fail go astray because of bad data, and that’s where you need to focus.

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James Norman James Norman
Updated on April 15, 2026

Don’t Mistake AI Hype for a Bubble

The AI bubble narrative suggests that the underlying technology has no value, but it is already changing the way we work. Even if some companies are overvalued, AI is here to stay.

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