Why you should still type code in 2026 (www.slater.dev)

🤖 AI Summary
A new perspective on coding practices emphasizes the importance of manually typing code instead of relying excessively on large language models (LLMs). The author reflects on personal experiences highlighting how over-dependence on more skilled peers or AI can undermine critical thinking and coding skills. Relying on AI tools may lead developers to perform tasks faster but can result in a dangerous shift away from foundational programming knowledge and a loss of essential coding competencies. The article underscores the "generation effect" from cognitive science, suggesting that active engagement—such as typing code rather than just reading it—enhances memory and retention significantly. Studies show that generating information results in better long-term retention compared to mere passive observation. The author encourages developers to type their own code in collaboration with AI, thus balancing efficiency with skill maintenance. This approach not only helps retain coding abilities but also fosters deeper understanding, mitigating the risks of relying too heavily on AI tools in an ever-evolving tech landscape.
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