Yolanda S.'s profile on Product Hunt

About

“If I grow, we grow; If we succeed, I succeed." - This has been my personal motto for as long as I remember. So, when my mentor that laid the foundation for my career in Data shared the vision of Calybre … it didn’t take much to convince me to pick up arms and join forces with them to build scarce Data and Analytics skills. CData states in their Dec 2022 article around 4 Major data trends that “Data and Analytics continue to be at the epicenter of the business landscape.” The problem is, no company can successfully become Data-driven without the right data skills, and with educational systems still playing catch-up with fast-disrupting data development, the skills are scarce in South Africa and globally.

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Tastemaker

Gone streaking

Forums

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11d ago

Are you still hiring junior/intern developers, or does AI just do it better now?

Used to be an obvious call, hire a junior dev, let them grow into it over time, review their code, build them up.
Now with AI handling a lot of basic implementation well, curious if that math still holds.

Is anyone still bringing on interns or junior developers for entry level coding work, or has AI quietly replaced that hiring category for a lot of teams already.

Genuinely trying to understand if this is still a real starting point for someone entering the field, or if that entry point has basically disappeared.

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14d ago

How do you keep your browser bookmarks from becoming a mess?

I ve ended up with hundreds of saved links that I keep telling myself I ll come back to. Now it s getting harder to find anything useful and I don t really want another paid bookmarking tool just to organize them. Do you have a simple system or any built-in browser features that help you automatically clean up old bookmarks?

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20d ago

Vibecode is instant legacy

I keep coming back to this idea: vibe code is basically instant legacy code.

Not because AI-generated code is necessarily bad, but because it often puts us in a familiar situation: the system works, yet no one fully understands how it works. That makes me wonder whether some of the most useful techniques for vibe coding are actually techniques we already use for legacy systems. For example:

Snapshot / approval tests: capture the current output and require explicit approval when it changes.
Characterization tests: describe what the system actually does today, regardless of what it was originally intended to do.
Golden master tests: run known inputs through the system and compare the results with a trusted baseline.
Contract test: protect the boundaries between components, services, APIs, events, and data stores.
Differential testing: compare two implementations and detect where their behavior diverges.
Test carving: observe a larger execution and extract smaller, focused regression tests from it.