Stroustrup: complexity is the new currency of code
The relentless march of AI and developer tooling has thrown a wrench into the age-old debate: what’s the best programming language? Veteran C++ architect, Bjarne Stroustrup, isn’t offering simple answers. He’s arguing that the pursuit of ‘ease’ is a dangerous illusion, and that genuine power now lies in embracing – and mastering – complexity.
The illusion of simplicity
Stroustrup, speaking recently, dismissed the notion that we’re headed towards a future dominated by scripting languages. He contends that the rise of AI-assisted development, while superficially streamlining processes, is merely layering convenience atop a fundamentally complex reality. “Incorporating this code is inacceptable and vergonzoso,” he stated bluntly. The core issue, he explains, boils down to control – the level a programmer needs to exert over the system to achieve robust, scalable solutions. This fundamental difference has bifurcated the software engineering industry into two distinct camps: those who delegate almost all coding to automated systems, and those who demand granular control, a requirement increasingly vital in large-scale, mission-critical applications.
He’s not just offering theoretical musings. Stroustrup, a pioneer in the field, has consistently challenged conventional wisdom. His repeated warnings – that learning to code online is a fallacy, and that demonstrable success in the industry demands serious dedication – resonate deeply within the developer community. The very nature of modern, ‘easy’ languages – Python, JavaScript – introduces a deceptive simplicity. They rely heavily on external libraries and complex runtime environments, masking a significant undercurrent of inherent complexity.
“There are only two types of programming languages,” Stroustrup quipped. “Those people complain about, and those that nobody uses.” This provocative statement underscores a crucial dynamic: the languages that consistently deliver reliable, high-performance results – C++, Java, Python – are often those that demand a greater investment from the developer. The very fact that these languages remain dominant, despite the allure of easier alternatives, speaks volumes about their enduring value. They’re built for scale, for stability; for wrestling with the raw mechanics of computation, not for letting an algorithm do all the work.
He’s clear: the drive for ‘ease’ is a trap. It’s a seductive promise of productivity that ultimately undermines the foundations of robust, long-lasting software. The pursuit of perfection, he concludes, is always an impediment to utility. And when it comes to Linux distributions – or ‘distros’ – understanding the underlying architecture is absolutely critical to avoid costly mistakes. Choosing the wrong distro isn't merely a matter of preference; it's a potential disaster for any project.