I presented "Aiming for the Future" at Bangor University, exploring computing's evolution from the Difference Engine to the modern era, focusing on content/data delivery shifts. I proposed that Machine Learning, especially Generative AI, is the next major computing wave, akin to the Web's rise in the early 2000s, potentially mechanizing mental labor. The Student Expo showcased many final-year projects incorporating AI, from creative tools to practical problem-solving, indicating the growing importance of AI in various fields.
This blog post explores how machine learning (ML) can enhance the developer experience. Inspired by Corridor Crew's use of ML in VFX, I initially brainstormed ways ML could automate tedious developer tasks, like accessibility improvements and performance optimization. I also considered ML's potential for generating layouts and images. The emergence of tools like GitHub Copilot and DALL-E-2 significantly impacted my thinking, especially regarding the future of software development and my role as a DevRel lead. Ultimately, the transformative power of GPT-Chat, demonstrated through its ability to generate webpage layouts and populate them with images based on simple prompts, left me questioning the future of my profession and considering the role I might play in training the next generation of AI tools.
