Right in Theory, Useless in Practice: AI, Knowledge Debt and the Hidden Subject of Technical Leadership
Há um gênero literário que floresceu nos últimos dois anos e que os antigos teriam classificado sem hesitação: o diagnóstico impecável. Ele começa com uma distinção correta, apresenta um dado real, conclui com uma frase de efeito sobre o novo papel do engenheiro e não custa absolutamente nada a quem o escreve. É retórica deliberativa no sentido aristotélico, discurso sobre o que deve ser feito,…
A recent literary genre, dubbed "impeccable diagnosis," has emerged, characterized by accurate distinctions, real data, and conclusions about the new role of engineers. This genre, often used in 2026, argues that small, disposable systems can be largely entrusted to AI, while critical, integrated legacy systems require close supervision.
However, the article questions who exactly is responsible for this supervision, and notes that the answer is often unclear. The author cites philosopher Immanuel Kant, who argued that a correct theory that doesn't work in practice is incomplete, and that the missing element is often the "faculty of judgment," or the ability to apply general rules to specific cases.
Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.
