Red Hat Developer Hub 2.1: Agent ready, extended support, new plugin architectures

AI has made code generation significantly faster. However, without enterprise context, this new speed fails to translate to business outcomes. Lack of context creates a quality gap that is estimated to cost 3 to 10 times more per feature than a context engineering approach. Initial productivity gains cancel out when you account for the time added to fixing AI output and the cost of increased risk. A Faros study found that incidents outgrew feature-completion by almost 4x, epic completion increased…

Quelle: Originalartikel öffnen