Software Struggles to Eat the WorldĪlong with the explosion of software for all sorts of use cases and business applications in the past decade plus, an equivalent has emerged for the number of jobs that require coding experience to build that software. Embedding this powerful ability into tools that developers can use is already proving invaluable at making developers better at their jobs and unlocking software production for less technical folks. By virtue of their size, underlying architecture, and training data and regime, the newest generation of state-of-the-art NLP models-called generative pre-trained transformers (GPTs)-can translate between many languages, including from text to code. These two factors make it even more important to boost the productivity of those in the workforce, and the most recent improvements in AI-driven natural language processing (NLP) models are making that a reality. Even for those already in a programmer role, most of their time is not necessarily spent coding new features but rather writing tests, patching security issues, reviewing code, and fixing bugs. The number of jobs requiring software developers is increasing at a rate that vastly outpaces the number of skilled professionals entering the market to fill those roles. Although software is supposedly “eating the world,” it is heavily restricted in doing so by access to development talent and the increasing number of tasks required to build software.
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