The Illusion of Speed: Why AI is “Rotting” Your Code
De benchmarks acadêmicos de 2026 a estudos com centenas de milhares de commits , um padrão começa a aparecer: a IA pode aumentar significativamente a velocidade de geração de código, mas esse ganho não necessariamente se traduz em software melhor ou mais sustentável no longo prazo . Você já sentiu isso. Você dá um prompt complexo ao seu agente de IA favorito. Em 15 segundos, ele cospe 300 linhas…
Studies suggest that while AI can significantly speed up code generation, this gain may not translate to better or more sustainable software in the long run. Researchers have found that AI-generated code can degrade over time, with issues such as code duplication, inconsistent abstractions, and complex architecture arising after initial development.
A benchmark called SlopCodeBench evaluated AI agents on iterative tasks and found that none could solve a complex problem without degrading the code. Additionally, studies have linked AI-assisted development to increased code complexity, warnings, and "code smells", with one study finding that increased complexity can later reduce development speed.
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.
