I use LLMs daily yet I still am not sure they really help all that much with the core productivity bottlenecks. I worry they lower the barrier to excessive perfectionism and “vibe coding” or “vibe learning.” They seem to short-circuit the theory-practice gap by giving users instant but unreliable and often inextensible results.
My fear is that they’ll raise expectations about productivity gains (because AI-assisted workers can bring immediate results in more quickly to a higher apparent standard of polish), while drastically reducing the knowledge gain by the workers about the problem domain. For example, workers may be able to whip up a codebase more quickly but have less familiarity with it at the end of the process, making it much more difficult to make modifications efficiently. Essentially, I suspect AI will generate massive technical debt in exchange for short-term wins, and that bad incentives will tend to perpetuate this in organizations. People will quickly set up new systems using AI, take credit, and exit those projects before serious problems become apparent.
I use LLMs daily yet I still am not sure they really help all that much with the core productivity bottlenecks. I worry they lower the barrier to excessive perfectionism and “vibe coding” or “vibe learning.” They seem to short-circuit the theory-practice gap by giving users instant but unreliable and often inextensible results.
My fear is that they’ll raise expectations about productivity gains (because AI-assisted workers can bring immediate results in more quickly to a higher apparent standard of polish), while drastically reducing the knowledge gain by the workers about the problem domain. For example, workers may be able to whip up a codebase more quickly but have less familiarity with it at the end of the process, making it much more difficult to make modifications efficiently. Essentially, I suspect AI will generate massive technical debt in exchange for short-term wins, and that bad incentives will tend to perpetuate this in organizations. People will quickly set up new systems using AI, take credit, and exit those projects before serious problems become apparent.