I Think AI Is Making Coding Easier and Learning Harder

In a recent post on Dev.to, developer Jaideep Parashar examines the dual-edged nature of AI in software development. While AI tools significantly boost productivity by automating code generation, debugging, and library explanations, they also risk bypassing the essential struggle required to build a deep mental model of programming. Parashar argues that the traditional process of trial and error is where true learning occurs. He warns that relying too heavily on AI for solutions can lead to developers becoming productive before they are truly skilled, creating a 'learning gap.' To mitigate this, he suggests a 'Try First' approach, where developers attempt to solve problems independently before seeking AI assistance. Ultimately, Parashar emphasizes that AI should be used as a thinking partner to challenge assumptions rather than a shortcut to avoid cognitive effort, ensuring that developers maintain ownership of their understanding while leveraging modern tools for efficiency.