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Go for Developers: Intro

2 min readMar 12, 2026

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A minimalist abstract technical illustration featuring a network of intersecting circuit lines, nodes, and geometric overlays in a palette of beige, white, and soft gray.

AI has firmly entered our lives, and a question often arises: is there still a need to learn programming when AI can write the code? AI is a highly useful invention that can genuinely simplify our lives. However, this tool is only effective when you can review the neural network’s solution yourself to prevent bugs and vulnerabilities from making it into prod.

Why Fundamentals Still Matter in the Age of AI

Yes, AI models can both write code and perform code reviews. But any experienced developer understands that AI can be incredibly convincing even when it’s wrong. In this chain, a human isn’t just a controller, but the bearer of context and responsibility. That is exactly why fundamental knowledge is important. Neural networks can be used to build an application in record time, but without an understanding of architectural nuances and domain specifics there is a significant risk of building a product where the cost of maintenance or failure will be far too high.

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Screenshot from LinkedIn of a post about how a vibe-coded application was exploited because of vulnerabilities

That is why code review, vulnerability analysis, risk assessment, and making decisions remain critical competencies for an engineer. This is a level of expertise that can be developed over time…

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Olha Stefanishyna
Olha Stefanishyna

Written by Olha Stefanishyna

JS engineer building MERN apps with WebGL graphics. Nature lover seeking witnesses to a serious crime. Open letter: https://ostefani.dev/seeking-justice