The Product Expert
What might existence be like for an AI agent?
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#philosophy #ai
Lee Eason's personal blog
Economics of Tertiary Service Providers
SaaS companies that profit by providing services that were slightly too annoying or expensive to build are in real trouble. This has major implications for Private Equity.
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#ai
Synthetic UX Testing with AI Agents
Simulating users with AI agents gives you a way to get user feedback about your service. What you end up learning could be much more valuable than what you expected to learn.
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#philosophy #ai
Modernizing Legacy Code: The Challenge of Forgetting
Organizations develop a shared memory space that morphs and changes over time, just like an individual's memories. I discuss the theory and its implications on things like turnover and modernization projects. I also demonstrate the theory using source code examples. Finally, we ponder how LLMs might or might not change the fundamental problem.
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#philosophy #leadership #ai
Research Project Toolset
I cover the tools and process I used to do my masters thesis research project. Includes tips and tricks for using LLMs as a research assistant.
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#ai
Planning for Failure
Technical teams often plan system changes based on how things are supposed to work and don't account for how things will break. This post explores how that plays out and how we might adjust our language to address the problem.
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#devops
Why AI can't replace humans
People are misunderstanding the fundamental job of software engineering. This essay explores why AI based systems cannot replace human software engineers.
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#philosophy #ai
Fly the Plane
When the proverbial crap hits the fan, don't take your hands off the controls.
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#philosophy #leadership
What makes a great Scrum Master?
I've heard more variation in opinion on how to qualify a great scrum master than any other role. It's time to get my thoughts on this role down on paper.
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#leadership #agile
Stop relying on averages
Averages, while useful for monitoring overall system health, often misrepresent individual user experiences. To truly understand and improve user satisfaction, one must analyze data beyond averages.
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#philosophy #devops