How clean code can bridge the developer and security divide
Industry-agnostic software is now an organization’s most critical business asset, as its competitive edge often depends on it. Since companies become more technologically savvy and dependent upon their software to meet revenue goals and deliver products or services to customers, it cannot be afforded to underestimate the importance that secure and high-quality code plays.
The more this becomes evident, the greater the pressure on developers to deliver. Leaders expect their developer teams to work faster, ship more features, and write “better” code, but the technical debt accrued as a result of these escalating demands creates a slowdown effect as developers try to keep up. This technical debt can take a third of developers’ time to address, with refactoring later costing twice, or even three times as much as a proactive fix. While AI code generation tools can help manage the responsibility of creating large amounts of code and handling mundane tasks so developers can focus on collaborative or creative work, AI-generated code shouldn’t be trusted at face value. When code is not properly reviewed for maintainability, security, and reliability (i.e. Clean Code attributes), poor-quality code problems creep in.
Secure software depends on clean code -- AI-generated or not
Software is immensely pervasive and foundational to innovation and market leadership. You’ve likely heard the popular phrase coined by McKinsey that "all companies are software companies." It’s true that businesses are competing and winning in their markets based on their ability to digitize and innovate. Almost every major enterprise, no matter its industry, relies heavily on software to deliver services, manage operations internally or promote itself.
Software starts with code, which means that secure or insecure code starts in development. As long as we continue to view security as a bolt-on or an after-the-fact fix, we’ll continue to widen the chasm between the pace of digital innovation and security’s ability to keep up. With AI-generated code increasing the volume and speed of software production without an eye toward code quality, this problem will only worsen. The world needs Clean Code. Without it, the performance of software will suffer, negatively impacting the business.