Marvin Hagemeister

AI coding tools have dramatically increased code output volume, but this creates a cognitive overload problem for developers. Rather than elevating developers to pure architects, AI often forces them into hyper-vigilant proofreaders who must reverse-engineer the 'why' behind generated code. The constant context-switching between high-level goals and low-level AI correction fills the mental buffer, leading to 'good enough' designs instead of great ones. The author argues that current developer tooling is mismatched for the AI era — still character-by-character input when intent-based, semantic-aware tools are needed. The DDoS metaphor captures how the flood of AI-generated code overwhelms the brain's limited cognitive context, much like a server flooded with requests.

DDoS'ing the human brain

<p>The value of the code is lost. Reusability and human readability are lost. LLM generates the simplest possible code to solve the user’s problem, not the optimal solution. It generates exactly what the user requested. The quality of the AI’s response depends on the level of human expertise.</p>
