Building on a recent radical Briefing, where my colleague Jeffrey Rogers explored the consequences of possibly imploding costs of developers due to the impact AI will have on the profession, Stanford professor Andrew Ng pointed out that the use of LLMs will further shift the workload from writing code to testing: Instead of spending most of a developer’s time on coming up with and writing actual code, AI will generate the code for you, based on descriptive prompts. But as a black box generated the code, we will spend much more time testing the code, and results to ensure whatever the AI dreamed up generates the desired results. Companies embracing this shift stand to gain as their rate of experimentation and, thus, learning increases dramatically.