Artificial intelligence has dramatically accelerated software development, with coding agents now capable of producing large volumes of production-ready code in minutes. Yet while writing software has become faster, ensuring that software behaves correctly in production remains one of engineering’s biggest challenges.
For decades, observability platforms have helped teams monitor infrastructure through logs, metrics, and traces. But according to Roee Adler, CEO of Hud, the rapid rise of AI-assisted development is exposing the limitations of systems originally designed for human operators rather than autonomous coding agents.
Software Is Being Written for a Different Era
Adler believes the shift isn’t simply about adopting AI tools. Instead, it’s about recognizing that software development itself is undergoing a fundamental transformation. As he explains, “The fundamental change is that software is no longer written primarily by humans using the engineering processes we’ve refined over decades; it’s being written by coding agents who are a completely different species.” Those agents, he says, are “fast, impatient, aggressive,” but they also lack the production context needed to consistently make safe decisions in complex environments.
