Is Agile Failing in the Age of AI?
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Agile transformed software development by adapting to changing requirements. But what happens when AI dramatically reduces the cost of implementation? Are we still optimizing for the right bottleneck?
Posts by Category
agile-ai
application-generation
From Code Generation to Application Generation, Part 8: If Agents Are Doing the Coding, What Am I Doing?
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If coding agents handle more implementation, the human role does not disappear. It moves toward mission, judgment, validation, integration, accountability, and helping more organizations use software well.
From Code Generation to Application Generation, Part 7: How Mission-Driven Engineering Happened
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Mission-Driven Engineering did not start as a framework. It started when I realized I was using coding agents to manage UI screens, data layers, and implementation artifacts instead of asking them to satisfy the outcome I actually cared about.
From Code Generation to Application Generation, Part 6: Inside Mission-Driven Engineering
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A practical walk-through of Mission-Driven Engineering: how missions, validations, generations, learning loops, and shared MDE memory turn AI coding agents into application-generation systems.
From Code Generation to Application Generation, Part 5: Why I Ended Up Looking Back at Model-Driven Engineering
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AI application generation feels new, but it echoes Model-Driven Engineering: humans describe intent, machines generate implementation, and independent validation decides whether the result actually works.
From Code Generation to Application Generation, Part 4: My Coding Agents Are Productive. I Am Exhausted.
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AI coding agents can make implementation dramatically faster, but they also create a new bottleneck: the human cost of managing context, attention, and learning across many parallel projects.
From Code Generation to Application Generation, Part 3: Why I Stopped Looking at Generated Code
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As AI coding agents improved, the generated code became less interesting than the final application outcome. The question shifted from whether the code looked right to whether the application solved the problem.
From Code Generation to Application Generation, Part 2: I Knew How to Fix It, But Wasn’t Sure You Wanted It Fixed
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Most of my interaction with coding agents became copying error messages from build systems and asking the agent to fix them. That raised an uncomfortable question: why was I in the loop at all?
From Code Generation to Application Generation, Part 1: When Does the Agent Stop?
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I initially trusted AI through code generation because code could be validated. What surprised me was discovering that the hardest problem was no longer implementation, but defining when the work was actually complete.
enterprise-ai
AI Doesn’t Have a Coding Problem. Enterprises Have a Permission Problem.
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What if the biggest obstacle to AI transformation isn’t the technology, but the way we’ve organized our companies?
retail-search
Artificial Intelligent Retail Search is here!-In Progress
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In this article, I explore the evolution of retail search and attempt to predict the future of retail search
Artificial Intelligent Retail Search is here! (2) - The Data Science Era
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Moving beyond simple keyword matching. How the industry transitioned to hybrid systems, query understanding, and the “Builder’s Era” of search relevance.
Artificial Intelligent Retail Search is here! (1) - The Legacy & The Problem
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A look back at the “Black Box” era of retail search, why we moved away from it, and the fundamental tension between finding products and making money.
software-scarcity
The End of Software Scarcity, Part 4: Rosa’s Story — Lead Workflow
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A website is only the front door. In this article, I explore how an AI-enabled conversation becomes part of a small operations system for leads, clients, jobs, reviews, videos, and ads.
The End of Software Scarcity, Part 3: Rosa’s Story — Website & AI Chat
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Building the website was easy. The more interesting question was whether a small business could afford an AI-powered customer experience with virtually no recurring software costs.
The End of Software Scarcity, Part 2: Rosa’s Story
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In my previous article, I argued that AI-assisted development may be bringing an end to software scarcity. This article tests that idea through a real-world project with a local small business owner.
The End of Software Scarcity, Part 1: Why Software Can Adapt to the Business
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For decades, organizations adapted themselves to software because software was expensive to build and maintain. AI-assisted development may reverse that relationship, making it practical for software to adapt to the unique needs of individual organizations.
teaching
Teaching Philosophy as a Part-Time Teacher
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Between 2017 and 2025, I consistently taught undergraduate or graduate courses in most semesters while balancing my teaching responsibilities with a full-time position in industry.
Teaching philosophy
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Teaching methods should be flexible, evolving based on the students, course content, and learning environment.