Tag: AI
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Navigating the AI Shift With the Wardley Doctrine
The speed at which AI coding agents help teams develop new features breaks the old models of work. If the bottleneck is no longer coding, then we need to focus our attention elsewhere. There’s always a bottleneck, and it will either move upstream or downstream of the coding activity. As the bottleneck shifts from developer…
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AI Transformations Are Hard-Agile
Many claims and stories are circulating about AI accelerating development, with promises of compressing a week’s worth of work into just a few hours or an afternoon. In large organizations, however, individual speed rarely translates into the faster delivery of customer value. For two decades, Agile methods have championed optimizing the entire value stream—identifying bottlenecks,…
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Transforming Agile Practices with the Kano Model
Many agile transformations focus on replacing rigid, waterfall processes with a standard set of ceremonies, roles, and artifacts. Agile maturity is often measured by how many of these practices a team has adopted, or making sure they’ve adopted the right ones: Long-lived teams are “more agile” than project teams; frequent deployments are “more agile” than…
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My AI Learning Journey
Learning the foundations Starting with an understanding of how LLMs worked was important for me, and this led to an intensive few days, consuming multiple YouTube playlists on topics including: YouTube Channels Here are the specific channels and playlists I learned from. After watching all these videos and reading numerous other articles online, I transcribed…
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Learning Agile with ChatGPT
I spent some time experimenting with OpenAI’s ChatGPT product to ask it some questions about agile and was blown away by the results. Using this tool made it feel like I was getting a sneak peek into the future. I asked it a series of increasingly challenging questions. I started with some straightforward questions, asking…
Flow Focused 