AI has already changed software development. Tools like GitHub Copilot have become ubiquitous parts of the workflow of millions of developers. Like other well-known editor features (like autocomplete or tooltips), AI-in-editor increases productivity, reduces required context switching, and lets developers stay in the flow while focusing on important parts of their job. However, this was just a first step—with the rapid developments of large language models (LLMs), which have become more powerful and knowledgeable with every release and have excellent reasoning capabilities, we can do more. Nowadays, we see AI tools able to solve complex, repository-wide tasks or even generate whole applications. In the talk, I will demo some new AI tools coming from GitHub Next, such as Copilot Workspace or GitHub Spark. We will discuss emerging UX patterns, give advice on how to build your own AI tool and peek into the future of developer tools. All that while trying to answer the most important question—how to design applications using AI with humans in mind.
This talk has been presented at Productivity Conf for Devs and Tech Leaders, check out the latest edition of this Tech Conference.
