The Risk of 'Vibe Coding': Why Fundamental Engineering Still Matters in the AI Era

The gap between using and understanding

Developer TAGBA G-Josaphat E examines the rise of ‘vibe coding’ in 2024-2025. This approach allows users to ship working applications via AI prompts with minimal technical knowledge.

Why This Matters

The technical reality is that while AI can generate functional code in seconds, it bypasses the ‘productive confusion’ and struggle required to build a deep understanding of systems. This creates a fragility where developers can ship features but cannot perform root-cause analysis or make informed architectural decisions when tools break or reach their limits.

Key Insights

• Fundamental Gap (2024-2025): A divergence has emerged between those who can use AI tools to build and those who understand the underlying system architecture.
• Vibe Coding: The concept of building software almost entirely through iterative AI prompts rather than traditional manual coding.
• Dependency Risk: Skipping basics like vanilla JavaScript or HTML leads to tool dependency, rendering a developer unable to determine if AI-generated code is good, bad, or dangerous.

Practical Applications

• ) Use case: Rapid prototyping via vibe coding to iterate on app ideas quickly. Pitfall: Skipping foundational learning, resulting in an inability to debug unexpected system failures.
• ) Use case: Using vanilla JavaScript/HTML for core foundations before adopting frameworks. Pitfall: Relying solely on AI for logic (e.g., async/await), leading to a lack of mental models for how code actually executes.

References:

• https://dev.to/josaphatstar/learning-to-code-in-the-ai-era-feels-broken-and-nobody-talks-about-it-1911