Previously, software engineers were like apprentices who pored over magic spells, spending a lot of time and effort writing and testing code. But now, AI is like that magic wand that generates and evaluates code quickly and accurately, giving engineers more time to explore and innovate. But the magic of AI goes beyond that. It's like an all-knowing wise man that not only helps engineers be more productive, but also breathes new life into processes like project management, Agile, and Scrum.
Agile management specialists are like directors who orchestrate a magic show, and they need to make sure every detail is perfect. AI is their right-hand man to help them better anticipate and respond to challenges and ensure that projects are completed on time and with quality. Similarly, product owners are like wizards who know what the market wants and needs - they need to understand user expectations and translate them into actual product requirements, and AI is their “crystal ball of market insights” that provides them with accurate data and analysis to help them make smarter decisions.
Overall, generative AI is the magic wand that brings unprecedented convenience and efficiency to agile management professionals and product owners. Some people are getting worried, is such an all-powerful AI on the verge of replacing them. Don't worry, those shiny AI tools aren't here to “steal your job”. In the agile software development arena, Scrum director, product owner and other roles are still important. These AI tools are more like sweet little assistants to help you clean up your chores so that you can focus more on creative work.
AI is like a diligent intern, helping you organize your files and analyze your data, while you're freed up to do the work that requires human intelligence and emotion. Today's AI tools, while they may look like an all-knowing wise man, are more like a student with a superior memory. While they can create something seemingly novel, they are far from true human creativity.
As a new project begins to blossom like a flower in bloom, each member of the Scrum team, like a hard-working gardener, begins to outline the flower - deciding on the scope of the application, laying out the user stories that will shine like stars, and mapping out the grand vision for the entire project -- the mission or vision statement. In this process, the AI chat tool acts as that multi-lingual translator who deftly translates stakeholders' expectations and visions into practical, actionable steps. All you need to do is paste all their ideas and expectations into the AI tool's “translation book”, and like a skilful knitter, it will weave these scattered thoughts into a list of concrete user stories. You are the conductor, and ChatGPT is your right-hand man.
Once the AI tool has familiarized itself with these user stories and helped you create detailed descriptions and task statements, you can go a step further and ask it to break down these user stories into specific notes - individual tasks - and place them on a to-do sheet music. Note, however, that while the AI may act like a veteran at coming up with tasks, it can sometimes miss some subtle melodies. Some tasks may be too subtle, while others may be too gritty. Thus, all the AI offers you is a starting point, a draft for your reference.
In the busy project jungle, an AI tool acts as a knowledgeable guide, lifting the fog of the project with its sharp linguistic interpretations, helping us to quickly catch every ray of light in the user story. However, don't forget that this guide is our partner, not our leader. Just like a skilful dancer, we need to use the AI's step cues to incorporate our understanding and emotions to perform the most moving project dance.
